TABLE 14-15
The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade 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,X₁= Salaries and X₂ = Spending:
-True or False: Referring to Table 14-15,you can conclude that instructional spending per pupil has no impact on the mean percentage of students passing the proficiency test,taking into account the effect of mean teacher salary,at a 5% level of significance using the confidence interval estimate for β₂.

Question

TABLE 14-15
The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade 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,X₁= Salaries and X₂ = Spending:

-True or False: Referring to Table 14-15,you can conclude that instructional spending per pupil has no impact on the mean percentage of students passing the proficiency test,taking into account the effect of mean teacher salary,at a 5% level of significance using the confidence interval estimate for β₂.

Quizplus · Accepted Answer

The confidence interval for β₂ includes 0, indicating that the effect of instructional spending per pupil on the mean percentage of students passing the proficiency test is not statistically significant at the 5% level of significance.

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