Question: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .215 a .046 .043 .72476 a. Predictors: (Constant), TOTAL FAMILY

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:

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