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eee · 2018年03月16日

关于 adjust R square 和F检验的比较,已黏贴教材原文


以下为教材答案和问题,adjust R square 从公式看也进行了有关自由度的调整,为什么解释性不如F检验?答案没看明白



答案 C is correct. In a multiple linear regression (as compared with simple regression),

R

2

is less appropriate as a measure of whether a regression model fits the data well. A high adjusted

R

2

does not necessarily indicate that the regression is well specified in the sense of including the correct set of variables. The

F

-test is an appropriate test of a regression’s overall significance in either simple or multiple regressions.

(Institute 410)

Institute, CFA. 2018 CFA Program Level II Volume 1 Ethical and Professional Standards, Quantitative Methods, and Economics. CFA Institute, 07/2017. VitalBook file.

所提供的引文是一个指南。请在使用之前查看每个引文以确保准确性。





问题:In interpreting the overall significance of your regression model, which statistic do you believe is most relevant:

R

2

, adjusted

R

2

, or the

F

-statistic?

(Institute 397)

Institute, CFA. 2018 CFA Program Level II Volume 1 Ethical and Professional Standards, Quantitative Methods, and Economics. CFA Institute, 07/2017. VitalBook file.

所提供的引文是一个指南。请在使用之前查看每个引文以确保准确性。






1 个答案

ElenaZhou · 2018年03月18日

我的理解:Adjusted R square 其实是一个相对值,单纯它本身并不能定量衡量模型解释度,要跟R2放在一起看相对值的对比来体现自变量个数的影响。 而F-test是衡量回归出来的模型和参数作为一个整体对因变量的解释度,是一个定量指标。

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