Examining the Model Summary table for Model 2 in the multiple regression output
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Examining the Model Summary table for Model 2 in the multiple regression output

4. Examine the regression output for Model 2, the multiple regression model examining self-esteem score, physical health score, and psychological health score as predictors of happiness. Use this output to the questions shown below on your Assignment 6 written response worksheet.

Note: To allow you to focus on interpreting the regression output, this example was screened beforehand to make sure there were no concerns with multicollinearity or influential cases.

QUESTION 12

Examining the Model Summary table for Model 2 in the multiple regression output, did the addition of physical health score and psychological health score as predictors improve the fit of the model (i.e., improve the amount of explained variability in happiness scores)? In your answer report and interpret the R-square change for Model 2 and report the F change results.

QUESTION 13

Examining the Coefficients table for Model 2 in the multiple regression output, which variables were found to be significant predictors of self-reported happiness? In your answer, report and interpret the standardized coefficient weights (Beta) and the t-statistics associated with each predictor in the Model 2 regression analysis.

QUESTION 14

Overall, based on the measures in the multiple regression analysis, does self-esteem, physical health, or psychological health appear to be the most influential predictor of happiness? Provide evidence from the output supporting your answer.

assignment-dataset-health-and-self-esteem

Hint
Statistics Though, severe multicollinearity is a challenge since it can raise the variance of the coefficient estimates and make the estimates very complex to minor deviations in the model. The outcome is that the coefficient approximations are uneven and hard to interpret....

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