Analysis of variance and multiple regression have many similarities. Which of the following is not true? 

a. The response variable is quantitative for each.
b. They both have F tests for testing that the response variable is statistically independent of the explanatory variable(s).
c. For inferential purposes, they both assume that the response variable y is normally distributed with the same standard deviation at all combinations of levels of the explanatory variable(s).
d. They are both appropriate when the main focus is on describing straight-line effects of quantitative explanatory variables.