21. When testing the contribution of all independent variables included in a multiple linear regression model, 当式的元线性回归模型中所有自安量白南でBt al the more independent variables that are included in the model, the less need there is to consider multicollinearity. b) the more independent variables there are, the greater the need to consider multicollinearity. C) limiting the number of independent variables reduces the need to consider multicollinearity. d) the number of independent variables in the model does not affect multicollinearity.
21. When testing the contribution of all independent variables included in a multiple linear regression model, 当式的元线性回归模型中所有自安量白南でBt al the more independent variables that are included in the model, the less need there is to consider multicollinearity. b) the more independent variables there are, the greater the need to consider multicollinearity. C) limiting the number of independent variables reduces the need to consider multicollinearity. d) the number of independent variables in the model does not affect multicollinearity.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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