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Correlation / regression / association between one categorical variable and two non-independent others



2019 Community Moderator ElectionHow to get correlation between two categorical variable and a categorical variable and continuous variable?Minimize correlation between input and output of black box systemCoalitional effect in logistic regression and assessing explanarory variable contributionNominal categorical variable with two levels: Label Encoding or One Hot encoding?Calculating correlation between two time variablesAlgorithms affected by multicollinearity due to correlation between independent featuresRegression model for continuous dependent variable and count independent variablesWhat is the relationship between correlation ratio and one-way Anova?Correlation between nominal categorical variablesHow to measure correlation between several categorical features and a numerical label in Python?










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$begingroup$


Let's say I want to measure association / correlation between one categorical variables, and two others which are not independent. As an example (not the one I'm using), I have a data set with three columns:



  • Died of X (true/false)

  • Country of residence (let's assume ~10 total)

  • Ethnic group (let's assume ~5 total)

I want to know whether "Died of X" is better explained by country of residence or ethnic group, knowing that ethnic group and country of residence are far from independent. For the cherry on the cake I'd like to know how much of "died of X" is explained by country, ethnic group, or neither (rather like multivariate regression but for categorical variables).



What's the best approach to take? Data set is small-digit-thousands and "died of X" is about 30% on average if that matters.



(my stats is very rusty so please forgive an obvious question)










share|improve this question









$endgroup$
















    0












    $begingroup$


    Let's say I want to measure association / correlation between one categorical variables, and two others which are not independent. As an example (not the one I'm using), I have a data set with three columns:



    • Died of X (true/false)

    • Country of residence (let's assume ~10 total)

    • Ethnic group (let's assume ~5 total)

    I want to know whether "Died of X" is better explained by country of residence or ethnic group, knowing that ethnic group and country of residence are far from independent. For the cherry on the cake I'd like to know how much of "died of X" is explained by country, ethnic group, or neither (rather like multivariate regression but for categorical variables).



    What's the best approach to take? Data set is small-digit-thousands and "died of X" is about 30% on average if that matters.



    (my stats is very rusty so please forgive an obvious question)










    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      Let's say I want to measure association / correlation between one categorical variables, and two others which are not independent. As an example (not the one I'm using), I have a data set with three columns:



      • Died of X (true/false)

      • Country of residence (let's assume ~10 total)

      • Ethnic group (let's assume ~5 total)

      I want to know whether "Died of X" is better explained by country of residence or ethnic group, knowing that ethnic group and country of residence are far from independent. For the cherry on the cake I'd like to know how much of "died of X" is explained by country, ethnic group, or neither (rather like multivariate regression but for categorical variables).



      What's the best approach to take? Data set is small-digit-thousands and "died of X" is about 30% on average if that matters.



      (my stats is very rusty so please forgive an obvious question)










      share|improve this question









      $endgroup$




      Let's say I want to measure association / correlation between one categorical variables, and two others which are not independent. As an example (not the one I'm using), I have a data set with three columns:



      • Died of X (true/false)

      • Country of residence (let's assume ~10 total)

      • Ethnic group (let's assume ~5 total)

      I want to know whether "Died of X" is better explained by country of residence or ethnic group, knowing that ethnic group and country of residence are far from independent. For the cherry on the cake I'd like to know how much of "died of X" is explained by country, ethnic group, or neither (rather like multivariate regression but for categorical variables).



      What's the best approach to take? Data set is small-digit-thousands and "died of X" is about 30% on average if that matters.



      (my stats is very rusty so please forgive an obvious question)







      regression categorical-data correlation






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 29 at 10:31









      ArbutusArbutus

      11




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