Consider the SPSS regression output below. The dependent variable (Y) is the level of happiness felt by individuals. The dependent variable was measured in the following manner: 1= very unhappy, 2= somewhat unhappy, 3=neither unhappy nor happy, 4= somewhat happy, 5= very happy. The following four factors are the independent variables: highest year of school completed, respondent’s age, number of children of the respondent, and total family income. The researcher acquired data from 1,457 randomly selected Americans and ran a multiple regression. The regression results are presented below: Model SummaryModelRR SquareAdjusted R SquareStd. Error of the Estimate1.215a.046.043.72476a. Predictors: (Constant), TOTAL FAMILY INCOME, AGE OF RESPONDENT, NUMBER OF CHILDREN, SUBJECTIVE CLASS IDENTIFICATION, HIGHEST YEAR OF SCHOOL COMPLETED CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig. BStd. ErrorBeta 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.028.014.0612.032.042 TOTAL FAMILY INCOME.016.004.1253.934.000 a. Dependent Variable: the level of happiness Explain in plain English what an R2 value of 0.046 means. At 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:

The multiple regression model is an extension of the simple regression model with more than one…

Answered: Consider the SPSS regression output…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Consider the SPSS regression output below. The dependent variable (Y) is the level of happiness felt by individuals. The dependent variable was measured in the following manner: 1= very unhappy, 2= somewhat unhappy, 3=neither unhappy nor happy, 4= somewhat happy, 5= very happy. The following four factors are the independent variables: highest year of school completed, respondent’s age, number of children of the respondent, and total family income. The researcher acquired data from 1,457 randomly selected Americans and ran a multiple regression. The regression results are presented below:

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 INCOME, AGE OF RESPONDENT, NUMBER OF CHILDREN, SUBJECTIVE CLASS IDENTIFICATION, HIGHEST YEAR OF SCHOOL COMPLETED

Coefficients^a
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

Explain in plain English what an R² value of 0.046 means.

At 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.