Using Linear Regression in SPSS, specify and run a two-block
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Using Linear Regression in SPSS, specify and run a two-block

2. Using Linear Regression in SPSS, specify and run a two-block (two-model) multiple regression analysis examining self-esteem as an individual predictor of happiness in Block 1 and self-esteem, physical health, and psychological health as multiple predictors in Block 2.

a. Go to Analyze - Regression - Linear…

b. Add HappyScore to the Dependent: box.

c. Next add SelfEsteemScore to the Block 1 of 1 box. Keep the Method: as Enter.

d. Click the Next button to add a second block to the linear regression analysis. Add SelfEsteemScore, PhysicalHealthScore, and PsychHealthScore, to the Block 2 of 2 box. Keep the Method: as Enter.

e. Click the Statistics… button, and check to add R-square change, Descriptives, Part and partial correlations, and Collinearity diagnostics. Then click Continue.

f. Click OK to run the multiple regression analysis.


3. Examine the regression output for Model 1, the single predictor regression model examining selfesteem as a predictor of happiness. Use this output to the questions shown below on your Assignment 6 written response worksheet.

QUESTION 9

Write a brief report in APA-style summarizing the results of the regression analysis specified in Model 1 that examined if self-esteem was a significant predictor of happiness. Report and interpret the R-square of the model. Also, report the ANOVA table results and the standardized coefficient weight (Beta) for the self-esteem score for Model 1. Finally, provide at least one sentence interpreting the findings (i.e., is self-reported self-esteem a good predictor of self-reported happiness?)

QUESTION 10

Specify the regression equation [HappyScorei = b0 + bSelfEsteemScore × SelfEsteemScorei] for Model 1 that examined self-esteem as a predictor of happiness. *Hint: Enter the B-values into the equation above for b0 (B-value for the Model 1 Constant) and bSelfEsteemScore (B-value for SelfEsteeemScore in Model 1).

QUESTION 11

Using the regression equation for regression Model 1 you just specified in Question #9 above, what would the predicted happiness score (Predicted-Y) be for someone who has a self-esteem score (X) of 30?

*Hint: Enter 30 in the regression equation for SelfEsteemScorei and solve for HappyScorei

assignment-dataset-health-and-self-esteem

Hint
Statistics Collinearity refers to as a relationship or correlation between two independent variables in a statistical model. Multicollinearity is where more than two independent variables are associated. When analyzing data using linear regression, make sure that the data you want to analyze can be analyzed using linear regression ...

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