TABLE 15-4
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.
Let Y = % Passing as the dependent variable,X1 = % Attendance,X2 = Salaries and X3 = Spending.
The coefficient of multiple determination ( ) of each of the 3 predictors with all the other remaining predictors are,respectively,0.0338,0.4669,and 0.4743.
The output from the best-subset regressions is given below: Following is the residual plot for % Attendance:
Following is the output of several multiple regression models:
Model (I) : Model (II) :
Model (III) :
-Referring to Table 15-4,which of the following predictors should first be dropped to remove collinearity?
A) X1
B) X2
C) X3
D) None of the above
Correct Answer:
Verified
Q26: A regression diagnostic tool used to study
Q32: The _ (larger/smaller)the value of the Variance
Q35: True or False: The stepwise regression approach
Q46: TABLE 15-4 Q53: TABLE 15-4 Q54: TABLE 15-4 Q55: True or False: Using the Cp statistic Q58: Using the best-subsets approach to model building,models Q62: TABLE 15-4 Q73: TABLE 15-5
The superintendent of a school district
The superintendent of a school district
The superintendent of a school district
What are the factors that determine
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents