Instruction 13.35 the Education Department's Regional Executive Officer Wanted to Predict the Predict
Multiple Choice
Instruction 13.35
The education department's regional executive officer wanted to predict the percentage of students passing a Grade 6 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:
-Referring to Instruction 13.35,which of the following is the correct null hypothesis to test whether instructional spending per pupil has any effect on percentage of students passing the proficiency test?
A) H0: β0 = 0
B) H0: β2 = 0
C) H0: β3 = 0
D) H0: β1 = 0
Correct Answer:

Verified
Correct Answer:
Verified
Q49: The interpretation of the slope is different
Q69: A multiple regression is called "multiple" because
Q121: Instruction 13.34<br>An automotive engineer would like
Q123: Instruction 13.37<br>Given below are results from
Q124: Instruction 13.25<br>Given below are results from
Q126: Instruction 13.22<br>The education department's regional executive officer
Q127: The coefficient of multiple determination r<sup>2</sup> measures
Q128: You have just computed a regression in
Q129: Instruction 13.17<br>A microeconomist wants to determine how
Q130: Instruction 13.13<br>A financial analyst wanted to