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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:
-True or False: Referring to Table 14-15,there is sufficient evidence that mean teacher salary has an effect on percentage of students passing the proficiency test while holding constant the effect of instructional spending per pupil at a 5% level of significance.
Q8: True or False: Multiple regression is the
Q17: True or False: The coefficient of multiple
Q26: True or False: In stepwise regression,an independent
Q56: True or False: Referring to Table 12-5,the
Q81: In testing a hypothesis using the χ<sup>2
Q83: True or False: Referring to Table 13-11,there
Q100: True or False: Referring to Table 13-12,there
Q140: Referring to Table 12-9,the degrees of freedom
Q155: Referring to Table 14-6,what is your decision
Q172: Referring to Table 14-3,what is the predicted