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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 Y = % Passing as the dependent variable, X1 =% Attendance, X 2 = Salaries and X3 = Spending:
 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 Y = % Passing as the dependent variable, X<sub>1 </sub>=% Attendance, X <sub>2 </sub>= Salaries and X<sub>3 </sub>= Spending:   -Referring to Scenario 18-8,the null hypothesis H<sub>0 </sub>:  \beta <sub>1</sub> = \beta <sub>2</sub> =  \beta <sub>3</sub> = 0 implies that percentage of students passing the proficiency test is not related to any of the explanatory variables.
-Referring to Scenario 18-8,the null hypothesis H0 : β\beta 1 = β\beta 2 = β\beta 3 = 0 implies that percentage of students passing the proficiency test is not related to any of the explanatory variables.


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