The followi
exam, their GPA (based on a 100 point scale), score on an aptitude test taken prior to admission to nursing
wether the variables are signific
Board
GPA
Apt test
Gender
Gender
440
87
92
1 F
To find the significance of GPA, test scores and gend
480
87
79
1 F
535
87
99
0 M
460
88
91
1 F
525
88
84
1 F
Regression tools from data analysis is used to explai
480
89
71
1 F
510
89
78
0 M
Male GPA
Fem GPA
530
89
78
1 F
637
1626
545
89
71
1 F
91
90.33
600
89
76
1 F
495
90
89
0 M
545
90
90
1 F
SUMMARY OUTPUT
575
90
73
1 F
525
91
71
1 F
Regression Statistics
575
91
81
0 M
Multiple R
0.556171557
600
91
84
1 F
R Square
0.3093268008
490
92
70
1 F
Adjusted R Squ
0.210659201
21.07%
510
92
85
0 M
Standard Error42.647072089
575
92
71
1 F
Observations
25
540
93
76
1 F
595
93
90
1 F
ANOVA
525
94
94
0 M
df
SS
600
94
93
0 M
Regression
3 17105.77
625
94
73
1 F
Residual
21 38194.23
545
94
94
1 F
Total
24
55300
25 count
Coefficients
andard Erro
Intercept
-444.9909059 362.7488
GPA
11.287274488 3.777318
Apt test
-0.525133292 1.071838
Gender
4.7093960485 21.41138
Intercept: when variables equal zero, test score is -445
For every unit increase in GPA, board score increases by 11.29 points. t stat is 2.99 which is >2 a
For every unit increase in Apt test, board score increases by -0.53. t stat is -0.49 which is <2 and
Board score changes by 4.71 based on gender, t stat is 0.22 which is <2 and p value of 0.83 is >
GPA is the only significant variable that explains board scores, hence may be considered for hiri
Y^ -445+11.29-5.3+4.71*e
R
2,
F, coefficients and the intercept. Discuss the relationships between GPA, aptitude test and gen


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- Fall '13
- Regression Analysis, Prime number