Which of the following is an assumption underlying statistical inference in logistic regression?

Question

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Logistic regression assumes that there is a linear relationship between the predictors and the logit (the natural logarithm of the odds of the dependent variable). This assumption allows for the estimation of coefficients for the predictors, which are used to make inferences about the relationship between the predictors and the probability of the dependent variable. Multivariate normality and homogeneity of variance are assumptions underlying linear regression, not logistic regression. Linearity between predictors and the dependent variable is not always necessary in logistic regression.

Which of the Following Is an Assumption Underlying Statistical Inference