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TABLE 14-15 the Superintendent of a School District Wanted to Predict the Predict

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TABLE 14-15
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) ,mean teacher salary in thousands of dollars (Salaries) ,and instructional spending per pupil in thousands of dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable,X1 = Salaries and X2 = Spending: TABLE 14-15 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) ,mean teacher salary in thousands of dollars (Salaries) ,and instructional spending per pupil in thousands of 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>= Salaries and X<sub>2</sub> = Spending:   -Referring to Table 14-15,which of the following is the correct alternative hypothesis to determine whether there is a significant relationship between percentage of students passing the proficiency test and the entire set of explanatory variables? A) H<sub>1</sub> : β<sub>0 </sub>= β<sub>1</sub> = β<sub>2</sub> ≠ 0 B) H<sub>1</sub> : β<sub>1</sub> = β<sub>2</sub> ≠ 0 C) H<sub>1</sub> : At least one of β<sub>j</sub> ≠ 0 for j = 0,1,2 D) H<sub>1</sub> : At least one of β<sub>j</sub><sub> </sub>≠ 0 for j = 1,2
-Referring to Table 14-15,which of the following is the correct alternative hypothesis to determine whether there is a significant relationship between percentage of students passing the proficiency test and the entire set of explanatory variables?


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