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

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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,you can conclude definitively that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test,considering the effect of mean teacher salary,at a 1% level of significance based solely on but not actually computing the 99% the confidence interval estimate for  \beta <sub>2</sub>.
 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,you can conclude definitively that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test,considering the effect of mean teacher salary,at a 1% level of significance based solely on but not actually computing the 99% the confidence interval estimate for  \beta <sub>2</sub>.
-Referring to Scenario 14-15,you can conclude definitively that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test,considering the effect of mean teacher salary,at a 1% level of significance based solely on but not actually computing the 99% the confidence interval estimate for β\beta 2.


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