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On the first day of class, an economics professor administers a test to gauge the math preparedne...

On the first day of class, an economics professor administers a test to gauge the math preparedness of her students. She belib-3. What is the conclusion to the test? conclude the explanatory variables are jointly significant Ho, we c-1. At the 5% sigFina Math Hours 94 74 74 76 80 74 71 84 76 95 78 71 82 65 1 5 78 63 76 71 70 73 62 70 60 76 70 3 81 59 95 59 64 61 74 75 76 783 54 83 57 79 90 93 76 46 61 47 60 56 83 41 69 82 52 71 69 74 62 62 78 80 43 41 64 78 63

On the first day of class, an economics professor administers a test to gauge the math preparedness of her students. She believes that the performance on this math test and the number of hours studied per week on the course are the primary factors that predict a student's score on the final exam. She collects data from 60 students, a portion of which is shown in the accompanying table Final 94 74 Math 92 90 Hours 63 64 icture Click here for the Excel Data File a. Estimate the sample regression equation that enables us to predict a student's final exam score on the basis of his/her math score and the number of hours studied per week. (Round your answers to 2 decimal places.) Final =L + Math + Hours b-1. At the 5% significance level, are a student's math score and the number of hours studied per week jointly significant in explaining a student's final exam score? First, specify the competing hypotheses H0: β1 -β2-0 ; HA: At least one ßj > 0 0 ßj
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EXCEL output:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.811640501 0.65876030(b-2). P-value < 0.01. (b-3). Reject Ho, we can conclude the explanatory variables are jointly significant. (c-2) Explanatory

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