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PaisleyPPx · 2021年06月03日

老师

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NO.PZ201512020300000801

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 the 1) the relationship between the dependent variable and the independent variable is linear in the parameters b0 and b1; 2) the independent variable is not random; 3) the expected value of the error term is 0; 4) the variance of the error term is the same for all observations; 5) the error term is uncorrelated across observations; and 6) the error term is normally distributed. Assumption 3 is incorrect because the expected value of the error term is assumed to be zero, not equal to the mean of the dependent variable.

老师 Assumption 2 和 3 分别是什么意思


Assumption 3 的值是不是等于0

1 个答案

星星_品职助教 · 2021年06月04日

同学你好,

Assumption 2是同方差假设,即残差项的方差必须为常数,否则就违背了回归方程的假设/产生了异方差。

Assumption 3正确的描述是残差项的均值为0,这同样是回归方程的假设。除了0之外的其余任何描述都是错误的。