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EvanWu · 2020年08月12日

问一道题:NO.PZ201512020300000801

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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.

我记得书里写的error term的方差是constant,没说是same吧?

Assumption 2 The variance of the error term is the same for all observations.

1 个答案
已采纳答案

星星_品职助教 · 2020年08月12日

同学你好,

constant的意思是恒定不变。对于所有的error term而言,方差都是同一个固定的不变的数字。所以所有error term的方差也是相同的,即same