(#2) (Short answer: based on material that will be covered in Lecture 17) Suppose that you have a multiple regression model with two explanatory variables. Both are statistically insignificant in the...

4(#2) (Short answer: based on material that will be covered in Lecture 17)<br>Suppose that you have a multiple regression model with two explanatory variables. Both are<br>statistically insignificant in the regression (i.e., you do not reject that either slope is equal to zero at a<br>5% level). Your R-squared value, however, is extremely high (0.95), so you overwhelmingly reject the<br>null hypothesis that the variables are jointly insignificant (the null would be written Ho: Bi=B2=0). How<br>could this be possible?<br>

Extracted text: (#2) (Short answer: based on material that will be covered in Lecture 17) Suppose that you have a multiple regression model with two explanatory variables. Both are statistically insignificant in the regression (i.e., you do not reject that either slope is equal to zero at a 5% level). Your R-squared value, however, is extremely high (0.95), so you overwhelmingly reject the null hypothesis that the variables are jointly insignificant (the null would be written Ho: Bi=B2=0). How could this be possible?

Jun 02, 2022
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