MACHINE LEARNING
INTRODUCTION
Question
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Logistic regression assumes that ____

The independent variables should be independent of each other. That is, the model should have little or no multicollinearity.


The independent variables are linearly related.


Both of above


None of these

Explanation:
Detailed explanation1: Logistic regression assumes a: Linear relationship between continuous predictor variables and the outcome variable.
Detailed explanation2: Some Logistic regression assumptions that will reviewed include: dependent variable structure, observation independence, absence of multicollinearity, linearity of independent variables and log odds, and large sample size.
Detailed explanation3: Both logistic regression and linear regression have common assumptions: A linear relationship between the explanatory variables and the response variable. Normally distributed residuals. Homoscedasticity between the residuals.
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