Question

What are the four primary assumptions of multiple linear regression (check all that apply)? 

Select one or more: 

a. Linear relationships between predictors and outcome 

b. Residuals are normally distributed with a mean of zero. 

c. There is constant variance of residuals 

d. The residuals are independent 

e. The predictors are normally distributed.

Answer 1

multiple linear regression requires the relationship between the independent and dependent variables to be linear.

the multiple linear regression analysis requires that the errors between observed and predicted values (i.e., the residuals of the regression) should be normally distributed with mean zeo and constant variance.

so, answer is

option a) option b) and option c)