Use the Stat_Grades data set to determine the relationships between a student'sshort-form IQ score,previous GPA, and the student'sFinal Examination points.
a. What are the correlations for each pair of variables? You may use a correlation matrix to show this if you like.
b. What would be the predictedFinal Examination points for a student who has anIQ score of 120 and had a 3.35 GPA using multiple regression?
Descriptive Statistics
|
Short Form IQ Test Score
|
115.34
|
9.967
|
105
|
Previous GPA
|
2.7789
|
.76380
|
105
|
Correlations
|
|
Short Form IQ Test Score
|
Previous GPA
|
Short Form IQ Test Score
|
Pearson Correlation
|
1
|
.570**
|
Sig. (2-tailed)
|
|
.000
|
N
|
105
|
105
|
Previous GPA
|
Pearson Correlation
|
.570**
|
1
|
Sig. (2-tailed)
|
.000
|
|
N
|
105
|
105
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
Descriptive Statistics
|
|
Mean
|
Std. Deviation
|
N
|
Short Form IQ Test Score
|
115.34
|
9.967
|
105
|
Final Exam Points
|
61.48
|
7.943
|
105
|
Correlations
|
|
Short Form IQ Test Score
|
Final Exam Points
|
Short Form IQ Test Score
|
Pearson Correlation
|
1
|
.363**
|
Sig. (2-tailed)
|
|
.000
|
N
|
105
|
105
|
Final Exam Points
|
Pearson Correlation
|
.363**
|
1
|
Sig. (2-tailed)
|
.000
|
|
N
|
105
|
105
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
Descriptive Statistics
|
|
Mean
|
Std. Deviation
|
N
|
Final Exam Points
|
61.48
|
7.943
|
105
|
Previous GPA
|
2.7789
|
.76380
|
105
|
Correlations
|
|
Final Exam Points
|
Previous GPA
|
Final Exam Points
|
Pearson Correlation
|
1
|
.498**
|
Sig. (2-tailed)
|
|
.000
|
N
|
105
|
105
|
Previous GPA
|
Pearson Correlation
|
.498**
|
1
|
Sig. (2-tailed)
|
.000
|
|
N
|
105
|
105
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
Variables Entered/Removeda
|
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Previous GPA, Short Form IQ Test Scoreb
|
.
|
Enter
|
a. Dependent Variable: Final Exam Points
|
b. All requested variables entered.
|
Model Summary
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.507a
|
.257
|
.243
|
6.912
|
a. Predictors: (Constant), Previous GPA, Short Form IQ Test Score
|
ANOVAa
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
1
|
Regression
|
1688.794
|
2
|
844.397
|
17.673
|
.000b
|
Residual
|
4873.396
|
102
|
47.778
|
|
|
Total
|
6562.190
|
104
|
|
|
|
a. Dependent Variable: Final Exam Points
|
b. Predictors: (Constant), Previous GPA, Short Form IQ Test Score
|
Coefficientsa
|
Model
|
Unstand
ardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
95.0% Confidence Interval for B
|
B
|
Std. Error
|
Beta
|
Lower Bound
|
Upper Bound
|
1
|
(Constant)
|
38.231
|
8.241
|
|
4.639
|
.000
|
21.884
|
54.578
|
Short Form IQ Test Score
|
.093
|
.083
|
.117
|
1.130
|
.261
|
-.071
|
.258
|
Previous GPA
|
4.485
|
1.080
|
.431
|
4.153
|
.000
|
2.343
|
6.626
|
a. Dependent Variable: Final Exam Points
|