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TABLE 13-15 the Superintendent of a School District Wanted to Predict the Predict

Question 183

Multiple Choice

TABLE 13-15
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, TABLE 13-15 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, = : % Attendance, = Salaries and = Spending: -Referring to Table 13-15, 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 = : % Attendance, TABLE 13-15 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, = : % Attendance, = Salaries and = Spending: -Referring to Table 13-15, 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 = Salaries and TABLE 13-15 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, = : % Attendance, = Salaries and = Spending: -Referring to Table 13-15, 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 = Spending:
TABLE 13-15 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, = : % Attendance, = Salaries and = Spending: -Referring to Table 13-15, 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
-Referring to Table 13-15, 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

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