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

Question 82

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SCENARIO 14-15
The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade 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, X1 = Salaries and X 2 = Spending:
SCENARIO 14-15 The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade 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<sub>1</sub> = Salaries and X <sub>2</sub> = Spending: -Referring to Scenario 14-15,the null hypothesis H<sub>0</sub>: \beta <sub>1</sub>= \beta <sub>2</sub>=0 implies that percentage of students passing the proficiency test is not affected by one of the explanatory variables.
SCENARIO 14-15 The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade 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<sub>1</sub> = Salaries and X <sub>2</sub> = Spending: -Referring to Scenario 14-15,the null hypothesis H<sub>0</sub>: \beta <sub>1</sub>= \beta <sub>2</sub>=0 implies that percentage of students passing the proficiency test is not affected by one of the explanatory variables.
-Referring to Scenario 14-15,the null hypothesis
H0: β\beta 1= β\beta 2=0 implies that percentage of
students passing the proficiency test is not affected by one of the explanatory variables.

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