Examine the Correlation Matrix for the variables in the model presented in the table below. Correlations...

Examine the Correlation Matrix for the variables in the model presented in the table below.

Correlations
		Life Purpose and Satisfaction	gender	subject's age	depressed state of mind	exercise
Pearson Correlation	Life Purpose and Satisfaction	1.000	.149	.051	-.661	.307
	gender	.149	1.000	-.020	-.074	.033
	subject's age	.051	-.020	1.000	.016	-.097
	depressed state of mind	-.661	-.074	.016	1.000	-.211
	exercise	.307	.033	-.097	-.211	1.000
Sig. (1-tailed)	Life Purpose and Satisfaction	.	.001	.147	.000	.000
	gender	.001	.	.339	.065	.248
	subject's age	.147	.339	.	.373	.024
	depressed state of mind	.000	.065	.373	.	.000
	exercise	.000	.248	.024	.000	.

Which predictor variable has a significant negative correlation with Life Purpose and Satisfaction?
Which predictor variables have a significant positive correlation with Life Purpose and Satisfaction?
What does the value of “1.000” represent in the correlation table?

Expert Solution

Solution:

Which predictor variable has a significant negative correlation with Life Purpose and Satisfaction?

Answer: The predictor variable "depressed state of mind" has a significant negative correlation with Life Purpose and Satisfaction. The value of the correlation between "depressed state of mind" and "Life Purpose and Satisfaction" is -0.661 and this correlation is statistically significant because the p-value is less than the significance level.

Which predictor variables have a significant positive correlation with Life Purpose and Satisfaction?

Answer: The predictor variable "exercise" has a significant positive correlation with Life Purpose and Satisfaction. The value of the correlation between "exercise" and "Life Purpose and Satisfaction" is 0.307 and this correlation is statistically significant because the p-value is less than the significance level.

What does the value of “1.000” represent in the correlation table?

Answer: The value of 1.000 represents the correlation of the variable with itself. For example for the "Life Purpose and Satisfaction", the correlation of "Life Purpose and Satisfaction" with itself is 1

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