Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.215a	.046	.043	.72476
a. Predictors: (Constant), TOTAL FAMILY INCOME, AGE OF RESPONDENT, NUMBER OF CHILDREN, SUBJECTIVE CLASS IDENTIFICATION, HIGHEST YEAR OF SCHOOL COMPLETED

Coefficientsa
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.
B	Std. Error	Beta
1	(Constant)	1.731	.120		14.414	.000
HIGHEST YEAR OF SCHOOL COMPLETED	-.002	.008	-.008	-.243	.808
AGE OF RESPONDENT	-.002	.001	-.059	-1.982	.048
NUMBER OF CHILDREN	.028	.014	.061	2.032	.042
TOTAL FAMILY INCOME	.016	.004	.125	3.934	.000
a. Dependent Variable: the level of happiness

1. At a 0.05 significance level, which variables are significant. For each significant variable, write a one-sentence interpretation that details the relationship and direction between the variables. Please order your list/sentences. The first variable you interpret should be the one with greatest strength. The second variable you list should be the one with the second-greatest strength, etc.You can identify non-significant variables by writing NOT SIG. in the interpretation space.

• Variable Name [____________________]. Interpretation:
• Variable Name [____________________]. Interpretation:
• Variable Name [____________________]. Interpretation:
• Variable Name [____________________]. Interpretation: