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,the null hypothesis should be rejected at a 5% level of significance when testing whether mean teacher salary has any effect on percentage of students passing the proficiency test,taking into account the effect of instructional spending per pupil.

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,the null hypothesis should be rejected at a 5% level of significance when testing whether mean teacher salary has any effect on percentage of students passing the proficiency test,taking into account the effect of instructional spending per pupil.

Quizplus · Accepted Answer

In the table, the p-value for Salaries is 0.006, which is less than 0.05. Therefore, we can reject the null hypothesis and conclude that mean teacher salary has a significant effect on the percentage of students passing the proficiency test, taking into account the effect of instructional spending per pupil.

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