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 (with some values missing)was recently presented to the editors by the magazine's analysts: Based on this output and your understanding of multiple regression analysis,which of the following statements is true?
A)The overall multiple regression model explains a significant portion of the variation in highway mileage when tested at a significance level of 0.05.
B)Only the two independent variables are statistically significant in the presence of the others when a significance level of 0.05 is used to test.
C)The standard error of the estimate is a negative value due to the multicollinearity problems in the model.
D)None of the above is true.

Question

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 (with some values missing)was recently presented to the editors by the magazine's analysts:  Based on this output and your understanding of multiple regression analysis,which of the following statements is true?
A)The overall multiple regression model explains a significant portion of the variation in highway mileage when tested at a significance level of 0.05. 
B)Only the two independent variables are statistically significant in the presence of the others when a significance level of 0.05 is used to test. 
C)The standard error of the estimate is a negative value due to the multicollinearity problems in the model. 
D)None of the above is true.

Quizplus · Accepted Answer

Based on the given output, the overall multiple regression model has an adjusted R-squared value of 0.86, which suggests that the model explains a significant portion of the variation in highway mileage. The p-value for the F-statistic is less than 0.05, which further supports the idea that the model is significant. Therefore, option A is true. Option B is not true since several independent variables have statistically significant coefficients in the model. Option C is not true since the standard error of the estimate cannot be negative.

The Editors of a National Automotive Magazine Recently Studied 30