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

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True/False

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:   -True or False: Referring to Table 17-8,the alternative hypothesis H<sub>1 </sub>: At least one of β<sub>j </sub>≠ 0 for j = 1,2,3 implies that the percentage of students passing the proficiency test is affected by at least one of the explanatory variables.
-True or False: Referring to Table 17-8,the alternative hypothesis H1 : At least one of βj ≠ 0 for j = 1,2,3 implies that the percentage of students passing the proficiency test is affected by at least one of the explanatory variables.

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