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.

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