Instruction 13.22
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, X 1 = % Attendance, X 2 = Salaries and X 3 = Spending:

-Referring to Instruction 13.22,there is sufficient evidence that all of the explanatory variables is related to the percentage of students passing the proficiency test.

Question

Instruction 13.22
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, X 1 = % Attendance, X 2 = Salaries and X 3 = Spending:
 
-Referring to Instruction 13.22,there is sufficient evidence that all of the explanatory variables is related to the percentage of students passing the proficiency test.

Quizplus · Accepted Answer

Without specific information about the results of the analysis referred to in Instruction 13.22, it's impossible to confirm that all explanatory variables are significantly related to the percentage of students passing the proficiency test. Statistical analysis is required to determine the relationship between variables.

Instruction 13.22 the Education Department's Regional Executive Officer Wanted to Predict the Predict