PSY248: Design and Statistics II

Part 1: You will need to conduct three, individual, simple regression analyses, one for each predictor variable. Be sure to follow the 8 steps involved in the analysis for each regression, and wherever necessary, be sure to report relevant statistics and values in APA format.

1. Write a brief summary of the univariate results for the dependent variable, ‘narc’.

a. Be sure include discussion of the 5 normality indicators with regard to location, variability, shape, and modality. Also be sure to identify any concerns or abnormalities.

2. Write a brief summary of the univariate results for the independent variable, ‘manip’.

a. Be sure include discussion of the 5 normality indicators and identify any concerns or abnormalities.

3. Write a brief summary of the univariate results for the independent variable, ‘entitle’.

a. Be sure include discussion of the 5 normality indicators and identify any concerns or abnormalities

4. Write a brief summary of the univariate results for the independent variable, ‘antisoc’.

a. Be sure include discussion of the 5 normality indicators and identify any concerns or abnormalities.

5. Write a brief summary of the bivariate results for all four variables. a. Be sure to identify any concerns or abnormalities.

6. With regard to the variance in the dependent variable explained by a single predictor, which of the three models best explains the variability in grandiose narcissism? Explain and justify your choice through a comparison of the results for the three models.

7. When examining the results of analyses to test the assumptions for each regression, which of the three models is most problematic? Explain and justify your choice through a comparison of the results for the three models.

Part 2: First, you will need to conduct a multiple regression analysis with all three independent variables included as predictors. You do not need to conduct analyses to test assumptions for this three-predictor model. Next, and based on your response to question 7, drop the worst predictor and re-run the multiple regression analysis with two predictors. Also, conduct the appropriate analyses to test assumptions for the two-predictor model.

8. Write a brief summary of the analyses to test the assumptions for the two-predictor model. a. Be sure to identify any concerns or abnormalities.

9. Write a brief summary of the results of the regression analyses (i.e., STEP 6) that includes a discussion of your model reduction. Thus, you will need to decide if the two-predictor model is better than the threepredictor model, and explain and justify your choice using the results produced in the output of your analyses. Be sure to include all relevant statistics and values used for all points of comparison.