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

Multiple Choice

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) , daily average of the percentage of students attending class (% Attendance) , average teacher salary in dollars (Salaries) , and instructional spending per pupil in dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable, X₁= % Attendance, X₂= Salaries and X₃= Spending:
Note:

-Referring to Table 14-15, which of the following is the correct alternative hypothesis to test whether instructional spending per pupil has any effect on percentage of students passing the proficiency test?

A) H₁ : β₀ ≠ 0
B) H₁ : β₁ ≠ 0
C) H₁ : β₂ ≠ 0
D) H₁ : β₃ ≠ 0