# MACHINE LEARNING

## MACHINE LEARNING

### INTRODUCTION

 Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Logistic regression assumes that ____
 A The independent variables should be independent of each other. That is, the model should have little or no multicollinearity. B The independent variables are linearly related. C Both of above D None of these
Explanation:

Detailed explanation-1: -Logistic regression assumes a: Linear relationship between continuous predictor variables and the outcome variable.

Detailed explanation-2: -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 explanation-3: -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.

There is 1 question to complete.