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

Question 240

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SCENARIO 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), 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, SCENARIO 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), 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, = Salaries and Spending: -Referring to Scenario 14-15, you can conclude that mean teacher salary has no impact on the mean percentage of students passing the proficiency test, considering the effect of instructional spending per pupil, at a 5% level of significance using the confidence interval estimate for = Salaries and SCENARIO 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), 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, = Salaries and Spending: -Referring to Scenario 14-15, you can conclude that mean teacher salary has no impact on the mean percentage of students passing the proficiency test, considering the effect of instructional spending per pupil, at a 5% level of significance using the confidence interval estimate for Spending: SCENARIO 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), 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, = Salaries and Spending: -Referring to Scenario 14-15, you can conclude that mean teacher salary has no impact on the mean percentage of students passing the proficiency test, considering the effect of instructional spending per pupil, at a 5% level of significance using the confidence interval estimate for SCENARIO 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), 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, = Salaries and Spending: -Referring to Scenario 14-15, you can conclude that mean teacher salary has no impact on the mean percentage of students passing the proficiency test, considering the effect of instructional spending per pupil, at a 5% level of significance using the confidence interval estimate for
-Referring to Scenario 14-15, you can conclude that mean teacher salary has no impact on the mean percentage of students passing the proficiency test, considering the effect of instructional spending per pupil, at a 5% level of significance using the confidence interval estimate for SCENARIO 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), 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, = Salaries and Spending: -Referring to Scenario 14-15, you can conclude that mean teacher salary has no impact on the mean percentage of students passing the proficiency test, considering the effect of instructional spending per pupil, at a 5% level of significance using the confidence interval estimate for

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