The administrator of a new paralegal program at a community college wants to predict the GPA in the new program. He believes that the high school GPA, the verbal score on the Scdholastic Aptitude Test (SAT), and the mathematics score on the SAT would be good predictors of paralegal GPA. The data on nine students are:

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 13CYU
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The administrator of a new paralegal program at a community college wants to predict the
GPA in the new program. He believes that the high school GPA, the verbal score on the
Sedholastic Aptitude Test (SAT), and the mathematics score on the SAT would be good
predictors of paralegal GPA. The data on nine students are:
GPA, the verbal score on the Scholastic Aptitude Test (SAT), and the mathematics score
on the SAT would be good predictors of paralegal GPA. The data on nine students are:
a.
Student
1.
2
3
4
5
Predictor
Constant
дра
verbal
math
6
7
8
High school
GPA
Error
Total
410
270
420 410
500
600
500 490
430
460
320
490
530
480
9
2.63
469 440
Source: Plan Administrator, Community and Technical College,
University of Toledo, Ohio.
дра
verbal
math
3.25
1.80
2.89
3.81
3.13
2.81
2.20
2.14
legal
0.911
The regression equation is
legal =-0.411
1.20 gpa
The MINITAB software system was used to generate the following output.
The following correlation matrix was obtained. Which variable has the strongest
correlation with the dependent variable? Some of the correlations among the
Independent variables are strong. Does this appear to be a problem?
0.616
0.487
CAT SAT
verbal math
Coef
-0.4111
1.2014
480
290
0.001629
-0.001939
gpa
0.609
0.636
Paralegal
GPA
b. Consider the following output. Compute the coefficient of multiple determination.
3.21
1.68
3.58
3.92
0.002147
0.002074
Analysis of Variance
SOURCE
DF
SS
MS
Regression 3 4.3595 1.4532
5 0.7036 0.1407
8
5.0631
3.00
2.82
1.65
2.30
2.33
verbal
0.599
0.00163 verbal -0.00194 math
Stdev
0.7823
0.2955
t-ratio
-0.53
4.07
0.76
-0.94
Transcribed Image Text:The administrator of a new paralegal program at a community college wants to predict the GPA in the new program. He believes that the high school GPA, the verbal score on the Sedholastic Aptitude Test (SAT), and the mathematics score on the SAT would be good predictors of paralegal GPA. The data on nine students are: GPA, the verbal score on the Scholastic Aptitude Test (SAT), and the mathematics score on the SAT would be good predictors of paralegal GPA. The data on nine students are: a. Student 1. 2 3 4 5 Predictor Constant дра verbal math 6 7 8 High school GPA Error Total 410 270 420 410 500 600 500 490 430 460 320 490 530 480 9 2.63 469 440 Source: Plan Administrator, Community and Technical College, University of Toledo, Ohio. дра verbal math 3.25 1.80 2.89 3.81 3.13 2.81 2.20 2.14 legal 0.911 The regression equation is legal =-0.411 1.20 gpa The MINITAB software system was used to generate the following output. The following correlation matrix was obtained. Which variable has the strongest correlation with the dependent variable? Some of the correlations among the Independent variables are strong. Does this appear to be a problem? 0.616 0.487 CAT SAT verbal math Coef -0.4111 1.2014 480 290 0.001629 -0.001939 gpa 0.609 0.636 Paralegal GPA b. Consider the following output. Compute the coefficient of multiple determination. 3.21 1.68 3.58 3.92 0.002147 0.002074 Analysis of Variance SOURCE DF SS MS Regression 3 4.3595 1.4532 5 0.7036 0.1407 8 5.0631 3.00 2.82 1.65 2.30 2.33 verbal 0.599 0.00163 verbal -0.00194 math Stdev 0.7823 0.2955 t-ratio -0.53 4.07 0.76 -0.94
f.
9.
C.
d.
0.
Conduct a global test of hypothesis from the preceding output. Does it appear that
any of the regression coefficients are not equal to zero?
Conduct a test of hypothesis on each independent variable. Would you consider
eliminating the variables "verbal" and "math"? Let a .05.
The regression equation is
legal
-0.454 1.16 gpa
Error
Total
The analysis has been rerun without "verbal" and "math." See the following output.
Compute the coefficient of determination. How much has R² changed from the
previous analusis?
Predictor
Coef
Constant
-0.4542
gpa
1.1589
Analysis of Variance
SOURCE
DF
SS
Regression. 1 4.2061
7
8
Residuals (Y-Y')
Following are a histogram and a ster-and-leaf diagram of the residuals. Does the
normality assumption for the residuals seem reasonable?
1
2
(3)
4
2
1
1
Histogram of residual N = 9
Midpoint Count
-0.4
-0.2
0.0
0.2
0.4
0.6
-04
-02
0.8570
5.0631
-0 110
0 00
02
0
06
Stdev
0.5542
0.1977
Stem-and-leaf of residual N = 9
Leaf Unit
0.10
0.70
0.35
E
0.00
-0.35
MS
4.2061
0.1224
1.
3
3
1
0
1 .
t-ratio
-0.82
5.86
Following is a plot of the residuals and the Y' values. Do you see any violation of
the assumptions?
1
1.50 2.00 2.50 3.00 3.50 4.00
Y'
Transcribed Image Text:f. 9. C. d. 0. Conduct a global test of hypothesis from the preceding output. Does it appear that any of the regression coefficients are not equal to zero? Conduct a test of hypothesis on each independent variable. Would you consider eliminating the variables "verbal" and "math"? Let a .05. The regression equation is legal -0.454 1.16 gpa Error Total The analysis has been rerun without "verbal" and "math." See the following output. Compute the coefficient of determination. How much has R² changed from the previous analusis? Predictor Coef Constant -0.4542 gpa 1.1589 Analysis of Variance SOURCE DF SS Regression. 1 4.2061 7 8 Residuals (Y-Y') Following are a histogram and a ster-and-leaf diagram of the residuals. Does the normality assumption for the residuals seem reasonable? 1 2 (3) 4 2 1 1 Histogram of residual N = 9 Midpoint Count -0.4 -0.2 0.0 0.2 0.4 0.6 -04 -02 0.8570 5.0631 -0 110 0 00 02 0 06 Stdev 0.5542 0.1977 Stem-and-leaf of residual N = 9 Leaf Unit 0.10 0.70 0.35 E 0.00 -0.35 MS 4.2061 0.1224 1. 3 3 1 0 1 . t-ratio -0.82 5.86 Following is a plot of the residuals and the Y' values. Do you see any violation of the assumptions? 1 1.50 2.00 2.50 3.00 3.50 4.00 Y'
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