Suppose you are looking at the results of a multiple regression using 3 ‘x’ variables and you see that the RSquared is high (close to 1.0), the F-Statistic is much greater than 10, and t-statistics are as follows: 6.1 for variable x1, -.51 for variable x2, and -4.51 for variable x3. What should you do using this information? … conclude that the regression and all of the x variables used have no value … conclude that the regression and all of the x variables used have useful value … conclude that the regression might be useful but should be rerun dropping out the x3 variable since the -4.51 t-value indicates that the x3 variable is not useful … conclude that the regression might be useful but should be rerun dropping out the x2 variable since the -.51 t-value indicates that the x2 variable is not useful
Suppose you are looking at the results of a multiple regression using 3 ‘x’ variables and you see that the RSquared is high (close to 1.0), the F-Statistic is much greater than 10, and t-statistics are as follows: 6.1 for variable x1, -.51 for variable x2, and -4.51 for variable x3. What should you do using this information? … conclude that the regression and all of the x variables used have no value … conclude that the regression and all of the x variables used have useful value … conclude that the regression might be useful but should be rerun dropping out the x3 variable since the -4.51 t-value indicates that the x3 variable is not useful … conclude that the regression might be useful but should be rerun dropping out the x2 variable since the -.51 t-value indicates that the x2 variable is not useful
Chapter4: Linear Functions
Section: Chapter Questions
Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...
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- Suppose you are looking at the results of a multiple regression using 3 ‘x’ variables and you see that the RSquared is high (close to 1.0), the F-Statistic is much greater than 10, and t-statistics are as follows: 6.1 for variable x1, -.51 for variable x2, and -4.51 for variable x3. What should you do using this information?
- … conclude that the regression and all of the x variables used have no value
- … conclude that the regression and all of the x variables used have useful value
- … conclude that the regression might be useful but should be rerun dropping out the x3 variable since the -4.51 t-value indicates that the x3 variable is not useful
- … conclude that the regression might be useful but should be rerun dropping out the x2 variable since the -.51 t-value indicates that the x2 variable is not useful
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