SCENARIO 14-15 The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade proficiency test. She obtained the data on percentage of students passing the proficiency test (% Passing), mean teacher salary in thousands of dollars (Salaries), and instructional spending per pupil in thousands of dollars (Spending) of 47 schools in the state. Following is the multiple regression output with Y = % Passing as the dependent variable, X 1 = Salaries and X 2 = Spending: -Referring to Scenario 14-15,you can conclude definitively that mean teacher salary individually has no impact on the mean percentage of students passing the proficiency test,considering the effect of instructional spending per pupil,at a 1% level of significance based solely on but not actually computing the 99% confidence interval estimate for $\beta$₁.

Question

Quizplus · Accepted Answer

We cannot definitively conclude that mean teacher salary individually has no impact on the mean percentage of students passing the proficiency test, considering the effect of instructional spending per pupil, at a 1% level of significance based solely on the multiple regression output. We would need to compute the 99% confidence interval estimate for F1F1F1S1^F1F1F10₁ to make a definitive conclusion.

SCENARIO 14-15 the Superintendent of a School District Wanted to Predict

SCENARIO 14-15
the Superintendent of a School District Wanted to Predict