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SCENARIO 18-8 the Superintendent of a School District Wanted to Predict

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SCENARIO 18-8 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), daily mean of the percentage of students attending class (% Attendance), mean 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 SCENARIO 18-8 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), daily mean of the percentage of students attending class (% Attendance), mean 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   as the dependent variable,       -Referring to Scenario 18-8, you can conclude that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test, considering the effect of all the other independent variables, at a 10% level of significance based solely on the 95% confidence interval estimate for   . as the dependent variable, SCENARIO 18-8 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), daily mean of the percentage of students attending class (% Attendance), mean 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   as the dependent variable,       -Referring to Scenario 18-8, you can conclude that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test, considering the effect of all the other independent variables, at a 10% level of significance based solely on the 95% confidence interval estimate for   . SCENARIO 18-8 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), daily mean of the percentage of students attending class (% Attendance), mean 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   as the dependent variable,       -Referring to Scenario 18-8, you can conclude that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test, considering the effect of all the other independent variables, at a 10% level of significance based solely on the 95% confidence interval estimate for   . SCENARIO 18-8 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), daily mean of the percentage of students attending class (% Attendance), mean 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   as the dependent variable,       -Referring to Scenario 18-8, you can conclude that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test, considering the effect of all the other independent variables, at a 10% level of significance based solely on the 95% confidence interval estimate for   .
-Referring to Scenario 18-8, you can conclude that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test, considering the effect of all the other independent variables, at a 10% level of significance based solely on the 95% confidence interval estimate for SCENARIO 18-8 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), daily mean of the percentage of students attending class (% Attendance), mean 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   as the dependent variable,       -Referring to Scenario 18-8, you can conclude that instructional spending per pupil individually has no impact on the mean percentage of students passing the proficiency test, considering the effect of all the other independent variables, at a 10% level of significance based solely on the 95% confidence interval estimate for   . .

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