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

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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  1. 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?
    1. … conclude that the regression and all of the x variables used have no value
    2. … conclude that the regression and all of the x variables used have useful value
    3. … 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
    4. … 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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