<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gd="http://schemas.google.com/g/2005"><id>tag:blogger.com,1999:blog-7958828565254404797.post5116849402452216087..comments</id><updated>2024-11-21T00:21:51.956-08:00</updated><title type='text'>Comments on ListenData: 15 Types of Regression (with Examples)</title><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://www.listendata.com/feeds/comments/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html'/><link rel="hub" href="http://pubsubhubbub.appspot.com/"/><link rel='next' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default?start-index=26&max-results=25'/><author><name>Deepanshu Bhalla</name><uri>http://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>26</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-1319986769863502643</id><published>2021-11-20T20:45:15.349-08:00</published><updated>2021-11-20T20:45:15.349-08:00</updated><title type='text'>Very helpful article
</title><content type='html'>Very helpful article<br /></content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/1319986769863502643'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/1319986769863502643'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1637469915349#c1319986769863502643' title=''/><author><name>WaqasCh</name><uri>https://www.blogger.com/profile/04334997046327497301</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1644049337"/><gd:extendedProperty name="blogger.displayTime" value="November 20, 2021 at 8:45 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-4012718895478671281</id><published>2021-08-23T23:27:31.193-07:00</published><updated>2021-08-23T23:27:31.193-07:00</updated><title type='text'>Nice post</title><content type='html'>Nice post</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4012718895478671281'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4012718895478671281'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1629786451193#c4012718895478671281' title=''/><author><name>Williamchen</name><uri>https://www.blogger.com/profile/06897176983340922894</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-313544670"/><gd:extendedProperty name="blogger.displayTime" value="August 23, 2021 at 11:27 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-1015210602926219278</id><published>2021-05-02T08:08:14.819-07:00</published><updated>2021-05-02T08:08:14.819-07:00</updated><title type='text'>Thankyou as it&#39;s very consuming to give answer...</title><content type='html'>Thankyou as it&#39;s very consuming to give answers to these in the understanding</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/1015210602926219278'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/1015210602926219278'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1619968094819#c1015210602926219278' title=''/><author><name>YA</name><uri>https://www.blogger.com/profile/05737236308665924663</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1490435079"/><gd:extendedProperty name="blogger.displayTime" value="May 2, 2021 at 8:08 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-364087328421120143</id><published>2020-12-24T02:49:41.592-08:00</published><updated>2020-12-24T02:49:41.592-08:00</updated><title type='text'>Very good article, you can also dd the multivariat...</title><content type='html'>Very good article, you can also dd the multivariate regression model, extension of logistic regression. Otherwise it is a good piece of work.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/364087328421120143'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/364087328421120143'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1608806981592#c364087328421120143' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/08175787537080794227</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-70122900"/><gd:extendedProperty name="blogger.displayTime" value="December 24, 2020 at 2:49 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-412924160100858413</id><published>2020-12-12T06:17:44.350-08:00</published><updated>2020-12-12T06:17:44.350-08:00</updated><title type='text'>hi Very good article. Do you have Python based exa...</title><content type='html'>hi Very good article. Do you have Python based examples. Please share if so<br /></content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/412924160100858413'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/412924160100858413'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1607782664350#c412924160100858413' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/06630242905617846231</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-92457676"/><gd:extendedProperty name="blogger.displayTime" value="December 12, 2020 at 6:17 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-4059159049579836103</id><published>2020-10-22T05:57:57.966-07:00</published><updated>2020-10-22T05:57:57.966-07:00</updated><title type='text'>good information....is it possible to get the abov...</title><content type='html'>good information....is it possible to get the above information in pdf format. will highly appreciate<br /></content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4059159049579836103'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4059159049579836103'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1603371477966#c4059159049579836103' title=''/><author><name>Kahiga</name><uri>https://www.blogger.com/profile/07135423113872191359</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1938410542"/><gd:extendedProperty name="blogger.displayTime" value="October 22, 2020 at 5:57 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-4095349530518203968</id><published>2020-07-19T07:56:03.127-07:00</published><updated>2020-07-19T07:56:03.127-07:00</updated><title type='text'>excellent article</title><content type='html'>excellent article</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4095349530518203968'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4095349530518203968'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1595170563127#c4095349530518203968' title=''/><author><name>P.Srikanth</name><uri>https://www.blogger.com/profile/08372678576560582027</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1538330696"/><gd:extendedProperty name="blogger.displayTime" value="July 19, 2020 at 7:56 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-4844901083222357645</id><published>2020-07-15T06:44:47.216-07:00</published><updated>2020-07-15T06:44:47.216-07:00</updated><title type='text'>Comprehensive article. One stop for regression mod...</title><content type='html'>Comprehensive article. One stop for regression models variance.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4844901083222357645'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4844901083222357645'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1594820687216#c4844901083222357645' title=''/><author><name>po</name><uri>https://www.blogger.com/profile/16446926175214388012</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-15230809"/><gd:extendedProperty name="blogger.displayTime" value="July 15, 2020 at 6:44 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-6695153411994826444</id><published>2020-01-20T14:08:29.826-08:00</published><updated>2020-01-20T14:08:29.826-08:00</updated><title type='text'>I was told we have more than fourth eight regressi...</title><content type='html'>I was told we have more than fourth eight regression analysis. So my question goes to? can you help list and explain the rest of types </content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/6695153411994826444'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/6695153411994826444'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1579558109826#c6695153411994826444' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/01904902692610422038</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-448971960"/><gd:extendedProperty name="blogger.displayTime" value="January 20, 2020 at 2:08 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5321005704203754000</id><published>2019-06-10T12:43:25.611-07:00</published><updated>2019-06-10T12:43:25.611-07:00</updated><title type='text'>I have added it into this article. Thanks!</title><content type='html'>I have added it into this article. Thanks!</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5321005704203754000'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5321005704203754000'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1560195805611#c5321005704203754000' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/8396928657318144815'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="June 10, 2019 at 12:43 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-8396928657318144815</id><published>2019-06-10T10:48:14.194-07:00</published><updated>2019-06-10T10:48:14.194-07:00</updated><title type='text'>What is a Tobit regression model?</title><content type='html'>What is a Tobit regression model?</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/8396928657318144815'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/8396928657318144815'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1560188894194#c8396928657318144815' title=''/><author><name>Luis A. Cubillos</name><uri>https://www.blogger.com/profile/15588539524373982172</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1149372321"/><gd:extendedProperty name="blogger.displayTime" value="June 10, 2019 at 10:48 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-869281377719723178</id><published>2019-04-03T09:30:15.564-07:00</published><updated>2019-04-03T09:30:15.564-07:00</updated><title type='text'>Hello, I used a Likert scale in a questionnaire an...</title><content type='html'>Hello, I used a Likert scale in a questionnaire and run a model where the dependent variable is the value of the answer. Using an ordinal regression model, 2 or 3 categories are &quot;underranked&quot;. So my model results weak. Do you have any sugestion? Actually I could sum the value of the answers value for each interviewee obtaining a result from 3 to 15. What kind of model could I use in this case?</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/869281377719723178'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/869281377719723178'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1554309015564#c869281377719723178' title=''/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-6939909"/><gd:extendedProperty name="blogger.displayTime" value="April 3, 2019 at 9:30 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-2718467377862834457</id><published>2018-06-15T03:49:54.864-07:00</published><updated>2018-06-15T03:49:54.864-07:00</updated><title type='text'>Dependent variable should be continuous in nature....</title><content type='html'>Dependent variable should be continuous in nature.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/2718467377862834457'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/2718467377862834457'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1529059794864#c2718467377862834457' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/6421376950290636507'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="June 15, 2018 at 3:49 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-7431929213276207908</id><published>2018-06-13T07:45:38.386-07:00</published><updated>2018-06-13T07:45:38.386-07:00</updated><title type='text'>Hello,

Can you please post some resources about h...</title><content type='html'>Hello,<br /><br />Can you please post some resources about how to deal with interactions in Regression using R? You have listed all kinds of regression models here. It would be great if you could cover Interactions and suggest how to interpret them. Maybe touching upon continuous, categorical, count and multilevel models. And giving some examples of real world data. <br /><br />Is that possible?<br /><br />Thanks,<br />Kunal</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/7431929213276207908'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/7431929213276207908'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1528901138386#c7431929213276207908' title=''/><author><name>KD</name><uri>https://www.blogger.com/profile/14777390137440623592</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-515450793"/><gd:extendedProperty name="blogger.displayTime" value="June 13, 2018 at 7:45 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-6421376950290636507</id><published>2018-05-14T14:25:50.152-07:00</published><updated>2018-05-14T14:25:50.152-07:00</updated><title type='text'>For what type of dependent data, support vector re...</title><content type='html'>For what type of dependent data, support vector regression is applicable? Is it applicable for the case when dependent variable is discrete and bounded?</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/6421376950290636507'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/6421376950290636507'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1526333150152#c6421376950290636507' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/13283198935699250635</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-488725597"/><gd:extendedProperty name="blogger.displayTime" value="May 14, 2018 at 2:25 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-2751251145296921968</id><published>2018-04-23T15:07:58.465-07:00</published><updated>2018-04-23T15:07:58.465-07:00</updated><title type='text'>In the elastic net regression I think there is a t...</title><content type='html'>In the elastic net regression I think there is a typo. There should be a + sign in between first and second terms of the equation on RHS</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/2751251145296921968'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/2751251145296921968'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1524521278465#c2751251145296921968' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/06217427922432170691</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1711480132"/><gd:extendedProperty name="blogger.displayTime" value="April 23, 2018 at 3:07 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5678242479417556560</id><published>2018-04-14T04:07:07.507-07:00</published><updated>2018-04-14T04:07:07.507-07:00</updated><title type='text'>Hi, very good article yet there is a details you m...</title><content type='html'>Hi, very good article yet there is a details you may correct if you want. The polynomial regression you are describing it is still a linear regression because the dependent variable, y, depend linearly on the regression coefficients. The fact the y is not linear versus x does not matter. From the practical point of view it means that with GNU R you can still use the &quot;lm&quot; function like in lm(y ~ x^2) and it will work as expected. The matrix computation of the linear regression and the matrix X is also still valid.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5678242479417556560'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5678242479417556560'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1523704027507#c5678242479417556560' title=''/><author><name>francesco</name><uri>https://www.blogger.com/profile/15190773349378936179</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1209309037"/><gd:extendedProperty name="blogger.displayTime" value="April 14, 2018 at 4:07 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-7113716550877831394</id><published>2018-04-13T11:58:31.109-07:00</published><updated>2018-04-13T11:58:31.109-07:00</updated><title type='text'>I am not sure if I understand right. For quantile ...</title><content type='html'>I am not sure if I understand right. For quantile regression the objective function is<br />q\sum | \eps_i | + (1-q) \sum | \eps_i | = \sum | \eps_i |.<br /><br />Is this equation correct?</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/7113716550877831394'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/7113716550877831394'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1523645911109#c7113716550877831394' title=''/><author><name>cnx</name><uri>https://www.blogger.com/profile/12614847138980399016</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1268070768"/><gd:extendedProperty name="blogger.displayTime" value="April 13, 2018 at 11:58 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-4710626195484839222</id><published>2018-03-30T06:02:29.762-07:00</published><updated>2018-03-30T06:02:29.762-07:00</updated><title type='text'>There is something a bit off with the definition h...</title><content type='html'>There is something a bit off with the definition here which you mentioned this and please correct me if I am wrong;<br />U said these<br /><br />When we use unnecessary explanatory variables it might lead to overfitting. Overfitting means that our algorithm works well on the training set but is unable to perform better on the test sets. It is also known as problem of high variance.<br /><br />When our algorithm works so poorly that it is unable to fit even training set well then it is said to underfit the data. It is also known as problem of high bias.<br /><br />But I think when we overfit covariates into our models we would end up with a perfect model for the training data as you minimize the MSE which then also increases your bias towards the model which then increase the test MSE if you are able to test it using testing data<br /><br />In my field of medical world I cannot do this training data usually cos it does not make sense</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4710626195484839222'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4710626195484839222'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1522414949762#c4710626195484839222' title=''/><author><name>HS</name><uri>https://www.blogger.com/profile/05867497733002311952</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-371925493"/><gd:extendedProperty name="blogger.displayTime" value="March 30, 2018 at 6:02 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-4281013703081410238</id><published>2018-03-27T08:52:23.208-07:00</published><updated>2018-03-27T08:52:23.208-07:00</updated><title type='text'>excellent, very helpful, thank you. 

Was there a ...</title><content type='html'>excellent, very helpful, thank you. <br /><br />Was there a reason that multinomial logistical regression was left out? </content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4281013703081410238'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4281013703081410238'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1522165943208#c4281013703081410238' title=''/><author><name>Unknown</name><uri>https://www.blogger.com/profile/02747698425224689827</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-2146597746"/><gd:extendedProperty name="blogger.displayTime" value="March 27, 2018 at 8:52 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5560513475739718785</id><published>2018-03-26T12:11:37.291-07:00</published><updated>2018-03-26T12:11:37.291-07:00</updated><title type='text'>This is great! I appreciate you explaining only wh...</title><content type='html'>This is great! I appreciate you explaining only what&#39;s necessary to inform a choice, but not defining all technical terms. I can look those up if I think a model&#39;s worth considering.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5560513475739718785'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5560513475739718785'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1522091497291#c5560513475739718785' title=''/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-6939909"/><gd:extendedProperty name="blogger.displayTime" value="March 26, 2018 at 12:11 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-3254926335243177988</id><published>2018-03-25T22:40:25.954-07:00</published><updated>2018-03-25T22:40:25.954-07:00</updated><title type='text'>Load survival package and then run command data(lu...</title><content type='html'>Load survival package and then run command data(lung) </content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/3254926335243177988'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/3254926335243177988'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1522042825954#c3254926335243177988' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/2961159476964510919'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="March 25, 2018 at 10:40 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5735105866310750061</id><published>2018-03-25T22:33:10.493-07:00</published><updated>2018-03-25T22:33:10.493-07:00</updated><title type='text'>Typo. Corrected! Thanks for highlighting. Cheers! ...</title><content type='html'>Typo. Corrected! Thanks for highlighting. Cheers! </content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5735105866310750061'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/5735105866310750061'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1522042390493#c5735105866310750061' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/4550570802295600029'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="March 25, 2018 at 10:33 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-2961159476964510919</id><published>2018-03-25T19:45:08.897-07:00</published><updated>2018-03-25T19:45:08.897-07:00</updated><title type='text'>What is the data set for Lung Cancer?</title><content type='html'>What is the data set for Lung Cancer?</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/2961159476964510919'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/2961159476964510919'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1522032308897#c2961159476964510919' title=''/><author><name>jb</name><uri>https://www.blogger.com/profile/05204348906705216252</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-175799666"/><gd:extendedProperty name="blogger.displayTime" value="March 25, 2018 at 7:45 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-3541732994552115614</id><published>2018-03-25T19:27:21.394-07:00</published><updated>2018-03-25T19:27:21.394-07:00</updated><title type='text'>The piece is very good but some few regressions ar...</title><content type='html'>The piece is very good but some few regressions are left out. Beta regression, probit regression, tobit regression and probably a few others. For probit and tobit, it is just good to extend the treatise on logistic regression and try to explain their differences and when it might be preferable to use probit or tobit rather than logit. I have read a document where someone was trying to diffentiate between logistic regression and logit. I could not get the difference really, is there any at all? The comment by Vsoch is really important to correct.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/3541732994552115614'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/5116849402452216087/comments/default/3541732994552115614'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2018/03/regression-analysis.html?showComment=1522031241394#c3541732994552115614' title=''/><author><name>Job Nmadu</name><uri>https://www.blogger.com/profile/03040885039833168972</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='33' height='24' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJP1-29yxX_3n9WasC39CGepRiYx3RaJCNwDTsBi0VasCl7bkLJukCfOdLAeZfIg8qOm9Ti7LhHKdFfJEFsd1HJCJVh0oBR6wSb5gFLZeIODlnWRjEdkhInF0TQi6b/s149/GitHub+%282%29.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2018/03/regression-analysis.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-5116849402452216087' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/5116849402452216087' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1799796638"/><gd:extendedProperty name="blogger.displayTime" value="March 25, 2018 at 7:27 PM"/></entry></feed>