Multiple Choice
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) , 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:
-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) H₁: β₀ = β₁ = β₂ = β₃ ≠ 0
B) H₁: β₁ = β₂ = β₃ ≠ 0
C) H₁: At least one of βⱼ ≠ 0 for j = 0, 1, 2, 3
D) H₁: At least one of βⱼ ≠ 0 for j = 1, 2, 3
Correct Answer:

Verified
Correct Answer:
Verified
Q255: TABLE 14-17<br> <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB1602/.jpg" alt="TABLE 14-17
Q256: TABLE 14-15<br>The superintendent of a school district
Q257: TABLE 14-10<br>You worked as an intern at
Q258: TABLE 14-16<br>What are the factors that determine
Q259: TABLE 14-18<br>A logistic regression model was estimated
Q261: TABLE 14-17<br> <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB1602/.jpg" alt="TABLE 14-17
Q262: TABLE 14-13<br>An econometrician is interested in evaluating
Q263: TABLE 14-17<br> <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB1602/.jpg" alt="TABLE 14-17
Q264: The coefficient of multiple determination r²Y.₁₂ measures
Q265: TABLE 14-5<br>A microeconomist wants to determine how