Distribution of error values in linear regression vs logistic regression The 2019 Stack Overflow Developer Survey Results Are InWhen to use linear or logistic regression?features' range in logistic regressionWhy logistic regression example code does not port to linear regression example?Why for logistic regression the error is given by [y ln(sigma(x)) + (1 − y) ln(1 − sigma(x)]When to use Linear Discriminant Analysis or Logistic RegressionGradient Descent in logistic regressionWhat are the differences between logistic and linear regression?Why is the logistic regression decision boundary linear in X?Linear Regression Errorhomogeneity of variance in logistic regression

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Distribution of error values in linear regression vs logistic regression



The 2019 Stack Overflow Developer Survey Results Are InWhen to use linear or logistic regression?features' range in logistic regressionWhy logistic regression example code does not port to linear regression example?Why for logistic regression the error is given by [y ln(sigma(x)) + (1 − y) ln(1 − sigma(x)]When to use Linear Discriminant Analysis or Logistic RegressionGradient Descent in logistic regressionWhat are the differences between logistic and linear regression?Why is the logistic regression decision boundary linear in X?Linear Regression Errorhomogeneity of variance in logistic regression










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Why do error values in linear regression have to be normally distributed and why not in logistic regression?










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    Why do error values in linear regression have to be normally distributed and why not in logistic regression?










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      $begingroup$


      Why do error values in linear regression have to be normally distributed and why not in logistic regression?










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      New contributor




      Kartik Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      Why do error values in linear regression have to be normally distributed and why not in logistic regression?







      machine-learning linear-regression logistic-regression distribution






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      edited 5 hours ago









      oW_

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      asked 5 hours ago









      Kartik SinghKartik Singh

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          1 Answer
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          $begingroup$

          Lets clarify with a simpler question




          Why points on a circle must be equally distanced from center, but
          not points on a square?




          Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.



          Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:



          1. Error distribution for linear and logistic regression,


          2. Logistic Regression - Error Term and its Distribution.






          share|improve this answer









          $endgroup$













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            0












            $begingroup$

            Lets clarify with a simpler question




            Why points on a circle must be equally distanced from center, but
            not points on a square?




            Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.



            Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:



            1. Error distribution for linear and logistic regression,


            2. Logistic Regression - Error Term and its Distribution.






            share|improve this answer









            $endgroup$

















              0












              $begingroup$

              Lets clarify with a simpler question




              Why points on a circle must be equally distanced from center, but
              not points on a square?




              Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.



              Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:



              1. Error distribution for linear and logistic regression,


              2. Logistic Regression - Error Term and its Distribution.






              share|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                Lets clarify with a simpler question




                Why points on a circle must be equally distanced from center, but
                not points on a square?




                Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.



                Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:



                1. Error distribution for linear and logistic regression,


                2. Logistic Regression - Error Term and its Distribution.






                share|improve this answer









                $endgroup$



                Lets clarify with a simpler question




                Why points on a circle must be equally distanced from center, but
                not points on a square?




                Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.



                Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:



                1. Error distribution for linear and logistic regression,


                2. Logistic Regression - Error Term and its Distribution.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 4 hours ago









                EsmailianEsmailian

                2,966320




                2,966320




















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