Multiple Choice
The editors of a national automotive magazine recently studied 30 different automobiles sold in the United States with the intent of seeing whether they could develop a multiple regression model to explain the variation in highway miles per gallon. A number of different independent variables were collected. The following regression output is the result of using a forward selection stepwise regression approach. Which of the following might explain why no other independent variables entered the model?
A) No other variable had a correlation with the dependent variable that was close to 1.0.
B) None of the remaining variables had a positive correlation with y.
C) The remaining variables must be nearly perfectly correlated with the two variables already in the model.
D) Given the two variables already in the model, none of the others could add significantly to the percentage of variation in the y variable that would be explained by the model.
Correct Answer:

Verified
Correct Answer:
Verified
Q76: If a decision maker wishes to develop
Q77: If one independent variable affects the relationship
Q78: Second-order polynomial models:<br>A) always curve upward.<br>B) always
Q79: A dummy variable is a dependent variable
Q80: One of the variables that are being
Q82: A multiple regression is shown for a
Q83: A regression equation that predicts the price
Q84: In a multiple regression model, the regression
Q85: The variance inflation factor (VIF) provides a
Q86: In simple linear regression analysis, the regression