因变量不能为正态分布，是这么理解吗

问题如下：

Which of Vasileva's assumptions regarding regression analysis is incorrect?

选项：

A. Assumption 1

B. Assumption 2

C. Assumption 3

解释：

C is correct. The assumptions of the linear regression model are that

(1) the relationship between the dependent variable and the independent variable is linear in the parameters b0 and b1,

(2) the residuals are independent of one another,

(3) the variance of the error term is the same for all observations, and

(4) the error term is normally distributed.

Assumption 3 is incorrect because the dependent variable need not be normally distributed.