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
Related questions
Topic Video
Question
It would be very kind of you… if you explain both of these simple questions….

Transcribed Image Text:Q1. When testing the contribution of all indenendent variables included in a multiple linear regression model.
当则式的元线t性回归模型中所有自受量白7B时
e 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.
2. Considering the collinearity problems in the model, the variables removed had:
等白门变量
共乡线性问题
a) the highest correlation with the dependent variable
b) the least correlation with the dependent variable
c) no correlation with the dependent variable
d) no correlation with each other
the
unit
coordinator
on
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images

Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON

The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman

Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman