Solution-What are the correlations for each pair of

What are the correlations for each pair of variables

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Reference no: EM131039724

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/Removed^a
Model	Variables Entered	Variables Removed	Method
1	Previous GPA, Short Form IQ Test Score^b	.	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	.507^a	.257	.243	6.912
a. Predictors: (Constant), Previous GPA, Short Form IQ Test Score

ANOVA^a
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	1688.794	2	844.397	17.673	.000^b
	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

Coefficients^a
Model		Unstand ardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B
Model		B	Std. Error	Beta	t	Sig.	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

Reference no: EM131039724

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What are the correlations for each pair of variables

Reference no: EM131039724

Reference no: EM131039724

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