On the first day of class, an economics professor administers a test to gauge the math preparedness of her students. She

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On the first day of class, an economics professor administers atest to gauge the math preparedness of her students. She believesthat the performance on this math test and the number of hoursstudied per week on the course are the primary factors that predicta student’s score on the final . She collects data from 60students.
Click here for the Excel Data Filea. Estimate the sample regression equationthat enables us to predict a student’s final score on thebasis of his/her math score and the number of hours studied perweek. (Round your answers to 2 decimal places.Negative value should be indicated by a minus sign.)
b-1. At the 5% significance level, are astudent’s math score and the number of hours studied per weekjointly significant in explaining a student’s final score? First,specify the competing hypotheses.
H0: β1 = β2 =0; HA: At leastone βj > 0
H0: β1 = β2 =0; HA: At leastone βj < 0
H0: β1 = β2 =0; HA: At leastone βj ≠ 0
b-2. Find the p-value.
p-value 0.10
0.05 p-value< 0.10
0.025 p-value< 0.05
0.01 p-value< 0.025
p-value < 0.01
b-3. What is the conclusion to thetest?c-1. At the 5% significance level, is eachexplanatory variable individually significant in explaining astudent’s final score? First, specify the competinghypotheses.
H0: βj =0; HA: βj >0
H0: βj =0; HA: βj <0
H0: βj =0; HA: βj ≠0
c-2. For each explanatory variable, statethe p-value and determine whether the explanatory variable issignificant in explaining FinalScore. (Round p-value to 3 decimalplaces.)

On The First Day Of Class An Economics Professor Administers A Test To Gauge The Math Preparedness Of Her Students She 1 (22.14 KiB) Viewed 36 times

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