Multiple Choice
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 Passing as the dependent variable,
Salaries and Spending:
ANOVA
-Referring to Scenario 14-15, which of the following is a correct statement?
A) 18.26% of the total variation in the percentage of students passing the proficiency test can be explained by mean teacher salary and instructional spending per pupil.
B) 18.26% of the total variation in the percentage of students passing the proficiency test can be explained by mean teacher salary and instructional spending per pupil after adjusting
For the number of predictors and sample size.
C) 18.26% of the total variation in the percentage of students passing the proficiency test can be explained by mean teacher salary holding constant the effect of instructional spending
Per pupil.
D) 18.26% of the total variation in the percentage of students passing the proficiency test can be explained by instructional spending per pupil holding constant the effect of mean
Teacher salary.
Correct Answer:

Verified
Correct Answer:
Verified
Q47: SCENARIO 14-19 The marketing manager for a
Q51: SCENARIO 14-17<br>Given below are results from the
Q52: A regression had the following results: SST
Q100: SCENARIO 14-15<br>The superintendent of a school district
Q241: SCENARIO 14-19<br>The marketing manager for a
Q245: SCENARIO 14-20-B<br>You are the CEO of
Q247: SCENARIO 14-20-B<br>You are the CEO of
Q248: SCENARIO 14-15<br>The superintendent of a school
Q251: SCENARIO 14-20-A<br>You are the CEO of
Q286: SCENARIO 14-18 A logistic regression model was