Which of the following is not an assumption for analyzing data with linear models?

Question

Quizplus · Accepted Answer

Linear models assume that for every combination of explanatory variables, the population of the response variable is normally distributed (A) and has equal variance (B). They also assume that the explanatory variables are measured without error, implying that the sample of explanatory variables is fixed or non-random (C). The assumption about the sample representing a random sample specifically from the population of response variables (D) is not a standard assumption for analyzing data with linear models.

Which of the Following Is Not an Assumption for Analyzing