tag:blogger.com,1999:blog-7958828565254404797.post8846016105935819071..comments2024-07-20T11:04:08.801-07:00Comments on ListenData: Difference between Linear Regression and Logistic RegressionDeepanshu Bhallahttp://www.blogger.com/profile/09802839558125192674noreply@blogger.comBlogger23125tag:blogger.com,1999:blog-7958828565254404797.post-48147005122391864922022-02-01T02:43:56.444-08:002022-02-01T02:43:56.444-08:00Good explanation very helpful to understand differ...Good explanation very helpful to understand difference between both algorithm Anonymoushttps://www.blogger.com/profile/07582623813228995390noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-66828461173318663832021-01-13T06:49:22.747-08:002021-01-13T06:49:22.747-08:00Can you add a reference to support the minimum sam...Can you add a reference to support the minimum sample size of 5 for the linear regression, or explain why did you chose 5?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-64955285478113916112021-01-04T02:13:53.017-08:002021-01-04T02:13:53.017-08:00NICE ARTICLENICE ARTICLEAnonymoushttps://www.blogger.com/profile/09642737860242936156noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-8969736980721882622019-10-09T08:34:23.130-07:002019-10-09T08:34:23.130-07:00Very nice explanationVery nice explanationAnonymoushttps://www.blogger.com/profile/13344417468620967936noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-17388171025804140482019-07-24T00:49:26.864-07:002019-07-24T00:49:26.864-07:00Very relevant article***
Very relevant article***<br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-70121856217893954602019-06-17T22:05:54.103-07:002019-06-17T22:05:54.103-07:00 Very nicely explained Very nicely explaineddollymeenakhttps://www.blogger.com/profile/04306702913316854205noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-42645081345584719542019-04-24T15:09:49.911-07:002019-04-24T15:09:49.911-07:00Superb explanations about both terms.
Excellent Superb explanations about both terms.<br />Excellent Anonymoushttps://www.blogger.com/profile/02728803533891290820noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-76039484845404432052019-03-29T16:56:31.922-07:002019-03-29T16:56:31.922-07:00Excellent Comparison.Excellent Comparison.Anonymoushttps://www.blogger.com/profile/01789972444955485488noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-55647796804906344572018-08-09T19:57:48.440-07:002018-08-09T19:57:48.440-07:00Clear & crisp 👍Clear & crisp 👍Anonymoushttps://www.blogger.com/profile/04826763174131542943noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-89475862881173060592018-07-20T23:20:49.838-07:002018-07-20T23:20:49.838-07:00An excellent explanation. Very useful indeed Thank...An excellent explanation. Very useful indeed ThanksSanthahttps://www.blogger.com/profile/14439340654393965462noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-46954575834889704712018-05-23T03:56:01.426-07:002018-05-23T03:56:01.426-07:00Can anyone explain in detail about odds ratio?
Th...Can anyone explain in detail about odds ratio?<br /><br />Thanks in advanceAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-7559604469537790822017-09-05T07:52:55.532-07:002017-09-05T07:52:55.532-07:00Dependent variable can not be discrete and contino...Dependent variable can not be discrete and continous at the same time. It can be onlt any one at a time. As pointed in article, for continuous variable, you can use linear regression. For discrete variable, you can make categories out of them and then use normal logistic regression. Shashank Prasadnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-45348856660115504762017-06-18T01:54:11.118-07:002017-06-18T01:54:11.118-07:00Correction: dependent variableCorrection: dependent variableAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-34225003459036800522017-06-18T01:52:08.023-07:002017-06-18T01:52:08.023-07:00If the independent variable is discrete but contin...If the independent variable is discrete but continuous...wat technique we can use?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-76550666280470127182017-03-07T09:53:45.968-08:002017-03-07T09:53:45.968-08:00very helpful
very helpful <br />Pritesh Tiwarihttps://www.blogger.com/profile/16976278175253324642noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-22543976362485521872017-01-23T09:29:03.783-08:002017-01-23T09:29:03.783-08:00A helpful post. Tks you very much! I have a data w...A helpful post. Tks you very much! I have a data with over 48000 observes and category outcome (0 and 1). Here is a link to my data: https://drive.google.com/file/d/0B0viyEhVYPseQlJ5d2pZa3RKc0E/view?usp=sharing . I run 2 model for that data: linear and logistics regression. I want to know which model is better? So I have a question: Which common criterions do compare good level of them? In linear model, we have R-squared. Similarity, we have GINI index, -2Loglikehood,sensitivity,specificity,area under ROC curve,... in logistics regression. But have not common criterions to evaluate good level of 2 model. Can you help me? If you can, please give me SAS code for it. Thank you!Anonymoushttps://www.blogger.com/profile/08236512769480100482noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-11316313815792539182017-01-23T09:09:47.487-08:002017-01-23T09:09:47.487-08:00A helpful post. Tks you very much! I have a data w...A helpful post. Tks you very much! I have a data with over 48000 observes and category outcome (0 and 1). https://drive.google.com/file/d/0B0viyEhVYPseQlJ5d2pZa3RKc0E/view?usp=sharingBad rate = 80%. I run 2 model for that data: linear and logistics regression. I want to know which model is better? So I have a question: Which common criterions do compare good level of them? In linear model, we have R-squared. Similarity, we have GINI index, -2Loglikehood,sensitivity,specificity,area under ROC curve,... in logistics regression. But have not common criterions to evaluate good level of 2 model. Can you help me? If you can, please give me SAS code for it.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-46473503347226780982017-01-15T23:15:29.931-08:002017-01-15T23:15:29.931-08:00I love the way you explain things. Your site has h...I love the way you explain things. Your site has helped me immensely! I can't thank you enough! Keep up the good work!Priyankanoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-11898472411862206342016-05-31T14:35:18.048-07:002016-05-31T14:35:18.048-07:00I have expanded the list of difference between the...I have expanded the list of difference between these two algorithms. Thanks!Deepanshu Bhallahttps://www.blogger.com/profile/09802839558125192674noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-44466618773274258752016-05-31T05:05:12.773-07:002016-05-31T05:05:12.773-07:00its very helful for me doing my assignment but i ...its very helful for me doing my assignment but i need 8 more differences and 3 similarities. by the way thankx Anonymoushttps://www.blogger.com/profile/10518857196009073392noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-91798735592304802352016-01-31T03:04:47.924-08:002016-01-31T03:04:47.924-08:00good
good<br />Anonymoushttps://www.blogger.com/profile/16426323512842471921noreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-26904540446452260622015-06-11T11:02:33.360-07:002015-06-11T11:02:33.360-07:00very helpfull. i made my assignment easily
thanks...very helpfull. i made my assignment easily <br />thanksAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-7958828565254404797.post-18860869338844638842015-05-19T06:50:04.129-07:002015-05-19T06:50:04.129-07:00good explanationgood explanationAnonymousnoreply@blogger.com