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SCENARIO 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, = Salaries and
Spending:
-Referring to Scenario 14-15, the null hypothesis should be rejected at a 5% level of significance when testing whether instructional spending per pupil has any effect on percentage of students passing the proficiency test, considering the effect of mean teacher salary.
Q27: Referring to Scenario 14-3, the p-value for
Q55: Referring to Scenario 13-4, the prediction for
Q59: Referring to Scenario 13-10, it is inappropriate
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Q146: Referring to Scenario 14-18, what is the
Q155: Referring to Scenario 14-15, which of the
Q162: Referring to Scenario 14-17, the alternative hypothesis
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Q335: Referring to Scenario 14-15, what are the