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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 alternative hypothesis H<sub>1 </sub>: At least one of  \beta  <sub>j </sub> \neq  0 for j = 1,2,3 implies that percentage of students passing the proficiency test is affected by all of the explanatory variables.
-Referring to Scenario 18-8,the alternative hypothesis H1 : At least one of β\beta j \neq 0 for j = 1,2,3 implies that percentage of students passing the proficiency test is affected by all of the explanatory variables.


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