Solutions Statistics

Education, work status and satisfaction with weight are predictors of satisfaction with quality of l

Question: Education, work status and satisfaction with weight are predictors of satisfaction with quality of life. Explain results What proportion of variance explaining satisfaction with quality of life in pat month?

Model summary
Model	R	R square	Adjusted R square		Standard error of the estimate
1	0.258	0.066	0.06			1.03
a. Predictors:(constant), satisfaction with weight, years of education, work status

			ANOVA
Model		sum of squares		df	Mean square		F	Sig.
regression		31.974		3	10.598		9.899	0
residual		447.533		418	1.071
total		479.327		421
a. Predictors:(constant), satisfaction with weight, years of education, work status
b. dependent variable:quality of life		:quality of life in past month

		Coefficients
	unstandardized coefficient		standardized coefficient
	B	Std error		Beta	t	Sig.
(constant)	3.449	0.267			12.903	0
education years	4.77E-03	0.015		0.016	0.327	0.744

work status	9.88E-02	0.07		0.068	1.407	0.16

weight satisfaction	9.90E-02	0.019		0.25	5.276	0

a. dependent variable: quality of life in past month