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TABLE 17-8 the Superintendent of a School District Wanted to Predict the Predict

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TABLE 17-8
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,X2 = Salaries and X3 = Spending: TABLE 17-8 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 Table 17-8,which of the following is the correct alternative hypothesis to test whether instructional spending per pupil has any effect on the percentage of students passing the proficiency test,taking into account the effect of all the other independent variables? A) H<sub>1 </sub>: β<sub>0 </sub>≠ 0 B) H<sub>1</sub> : β<sub>1</sub> ≠ 0 C) H<sub>1 </sub>: β<sub>2 </sub>≠ 0 D) H<sub>1 </sub>: β<sub>3</sub> ≠ 0
-Referring to Table 17-8,which of the following is the correct alternative hypothesis to test whether instructional spending per pupil has any effect on the percentage of students passing the proficiency test,taking into account the effect of all the other independent variables?


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