True or False: Multicollinearity is a situation where you have NO
interference among the explanatory variables for regression
Selected Answer: False
Answers: True
False
Question 2 10 out of 10 points
If you have variables that are multicollinear in your regression model
they are more likely to be statistically significant
Selected Answer: False
Answers: True
False
Question 3 10 out of 10 points
If you have multicollinearity then the global Ftest will be less likely
to be statistically significant compared to the tests for the individual
variables
Selected Answer: False
Answers: True
False
Question 4 10 out of 10 points
Multicollinearity will never result in slopes for the regression that are
not sensible
Selected Answer: False
Answers: True
False
Question 5 10 out of 10 points
The correlation output from SPSS contains no redundant data
This study source was downloaded by 100000850872992 from CourseHero.com on 02-19-2023 22:17:34 GMT -06:00
https://www.coursehero.com/file/20849725/Regression-Lecture-4-And-5-Quiz/
, Selected Answer: False
Answers: True
False
Question 6 10 out of 10 points
The slope for Bedrooms on slide 6 agrees with common sense in the selling
price of homes
Selected Answer: False
Answers: Ture
False
Question 7 0 out of 10 points
Using the facts on slide 6, we would fail reject Ho for the variables
Bedrooms and Garage
Selected Answer: False
Answers: True
False
Question 8 10 out of 10 points
In multiple regression one never includes the phrase "in the presence of
the other variables in the model" in the interpretation of the slope
coefficients
Selected Answer: False
Answers: True
False
Question 9 10 out of 10 points
If multicollinearity exists in the data then you may have to tradeoff
between predictability and explainability
Selected Answer: True
Answers: True
False
Question 10 10 out of 10 points
As the number of potential explanatory variables increases, the number of
potential models increases very rapidly
This study source was downloaded by 100000850872992 from CourseHero.com on 02-19-2023 22:17:34 GMT -06:00
https://www.coursehero.com/file/20849725/Regression-Lecture-4-And-5-Quiz/