how do I predict a continuous variables with logistic regression model [on hold]












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I am new to ML and I was trying my hands with data. Is it possible to predict the height of a test data using a logistic regression model?






logistic-regression







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Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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put on hold as too broad by Dan Carter, Stephen Rauch, Ethan, Mark.F, Dawny33♦ 37 mins ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.


















  • $begingroup$
    An oversimplified answer is no. Logistic regression is for classification. For predicting continuous-valued variables you should be looking for regression methods.
    $endgroup$
    – user12075
    50 mins ago
















0












$begingroup$


enter image description here



I am new to ML and I was trying my hands with data. Is it possible to predict the height of a test data using a logistic regression model?






logistic-regression







share|improve this question







New contributor




Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$



put on hold as too broad by Dan Carter, Stephen Rauch, Ethan, Mark.F, Dawny33♦ 37 mins ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.


















  • $begingroup$
    An oversimplified answer is no. Logistic regression is for classification. For predicting continuous-valued variables you should be looking for regression methods.
    $endgroup$
    – user12075
    50 mins ago














0












0








0





$begingroup$


enter image description here



I am new to ML and I was trying my hands with data. Is it possible to predict the height of a test data using a logistic regression model?






logistic-regression







share|improve this question







New contributor




Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




enter image description here



I am new to ML and I was trying my hands with data. Is it possible to predict the height of a test data using a logistic regression model?






logistic-regression




logistic-regression






share|improve this question







New contributor




Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question







New contributor




Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




share|improve this question






New contributor




Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked 8 hours ago









Bolu OluwaladeBolu Oluwalade

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New contributor




Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Bolu Oluwalade is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




put on hold as too broad by Dan Carter, Stephen Rauch, Ethan, Mark.F, Dawny33♦ 37 mins ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









put on hold as too broad by Dan Carter, Stephen Rauch, Ethan, Mark.F, Dawny33♦ 37 mins ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.














  • $begingroup$
    An oversimplified answer is no. Logistic regression is for classification. For predicting continuous-valued variables you should be looking for regression methods.
    $endgroup$
    – user12075
    50 mins ago


















  • $begingroup$
    An oversimplified answer is no. Logistic regression is for classification. For predicting continuous-valued variables you should be looking for regression methods.
    $endgroup$
    – user12075
    50 mins ago
















$begingroup$
An oversimplified answer is no. Logistic regression is for classification. For predicting continuous-valued variables you should be looking for regression methods.
$endgroup$
– user12075
50 mins ago




$begingroup$
An oversimplified answer is no. Logistic regression is for classification. For predicting continuous-valued variables you should be looking for regression methods.
$endgroup$
– user12075
50 mins ago










1 Answer
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You can do if you create new column based of the Height as categorical/binary: tall = 1 = height > 64; !tall = 0 height < 64 and this column is your response variable.



Also: how you can predict continuous variable when the output is a probability between (0,1) ???



Probability of occurring of an event is when you use logistic regression.




Note: For your problem here you predict with logistic regression the
Gender that is your “y” and for any response variable that is
continuous you use linear regression







share|improve this answer









$endgroup$




















    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0












    $begingroup$

    You can do if you create new column based of the Height as categorical/binary: tall = 1 = height > 64; !tall = 0 height < 64 and this column is your response variable.



    Also: how you can predict continuous variable when the output is a probability between (0,1) ???



    Probability of occurring of an event is when you use logistic regression.




    Note: For your problem here you predict with logistic regression the
    Gender that is your “y” and for any response variable that is
    continuous you use linear regression







    share|improve this answer









    $endgroup$


















      0












      $begingroup$

      You can do if you create new column based of the Height as categorical/binary: tall = 1 = height > 64; !tall = 0 height < 64 and this column is your response variable.



      Also: how you can predict continuous variable when the output is a probability between (0,1) ???



      Probability of occurring of an event is when you use logistic regression.




      Note: For your problem here you predict with logistic regression the
      Gender that is your “y” and for any response variable that is
      continuous you use linear regression







      share|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        You can do if you create new column based of the Height as categorical/binary: tall = 1 = height > 64; !tall = 0 height < 64 and this column is your response variable.



        Also: how you can predict continuous variable when the output is a probability between (0,1) ???



        Probability of occurring of an event is when you use logistic regression.




        Note: For your problem here you predict with logistic regression the
        Gender that is your “y” and for any response variable that is
        continuous you use linear regression







        share|improve this answer









        $endgroup$



        You can do if you create new column based of the Height as categorical/binary: tall = 1 = height > 64; !tall = 0 height < 64 and this column is your response variable.



        Also: how you can predict continuous variable when the output is a probability between (0,1) ???



        Probability of occurring of an event is when you use logistic regression.




        Note: For your problem here you predict with logistic regression the
        Gender that is your “y” and for any response variable that is
        continuous you use linear regression








        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 1 hour ago









        n1tkn1tk

        413210




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