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,X 1 = Salaries and X 2 = Spending:
-True or False: Referring to Table 14-15,there is sufficient evidence that the percentage of students passing the proficiency test depends on at least one of the explanatory variables at a 5% level of significance.

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,X 1 = Salaries and X 2 = Spending: 
-True or False: Referring to Table 14-15,there is sufficient evidence that the percentage of students passing the proficiency test depends on at least one of the explanatory variables at a 5% level of significance.

Quizplus · Accepted Answer

The p-value for the F-statistic is 6.36E-10, which is less than 0.05, indicating that at least one of the explanatory variables (Salaries and Spending) has a significant effect on the percentage of students passing the proficiency test at a 5% level of significance.

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