# Conduct a Multiple Regression Analysis using the Supermodel.sav dataset

### GET A 40% DISCOUNT ON YOU FIRST ORDER

Need all bullet points addressed and one to two paragraph results write up that explains the data and answers to bullet point questions. As well as a couple tables from the output file put into APA format and used to help represent data write up.

Document Preview:
Multiple Regression Analysis (Supermodel.sav dataset) Complete Smart Alex’s Task #4 on p. 355 to perform a multiple regression analysis using the Supermodel.sav dataset from the Field text. You can follow the steps outlined on pp. 316–320 as a guide. State the Assumptions State whether the Assumptions have been met (If the assumptions were not met (either in actuality or hypothetically), state what alternatives you have available to you). State the null and alternative (research) hypotheses. State whether the hypotheses have been met (reject or accept null or alternative) Create two to three results table in APA that represent data write up Provide Interpretations of the post hoc (ANOVAs and ANCOVA) or model fit (Multiple and Logistic Regression) Describe how you would compute the sample size to achieve 80% power, alpha = .05, and the appropriate effect size. Put syntax file in Appendix 1 and all output file in appendix 2 Describe all previous answers in a data write up similar to the one below in APA: Example write up: A one-way repeated measures ANOVA was conducted to determine whether there were statistically significant differences in CRP concentration over the course of a 6-month exercise intervention. There were no outliers and the data was normally distributed, as assessed by boxplot and Shapiro-Wilk test (p > .05), respectively. The assumption of sphericity was violated, as assessed by Mauchly’s test of sphericity, ?2(2) = 6.270, p = .043. Therefore, a Greenhouse-Geisser correction was applied (e = 0.648). The exercise intervention elicited statistically significant changes in CRP concentration over time, F(1.298, 11.663) = 26.938, p < .0005, partial ?2 = 0.750, with CRP concentration decreasing from pre-intervention (M = 4.33, SD = 0.64 mg/L) to 3 months (M = 3.94, SD = 0.57 mg/L) to 6 months (post-intervention) (M = 3.65, SD = 0.43 mg/L). Post hoc analysis with a Bonferroni adjustment revealed that CRP concentration was statistically…

### GET A 40% DISCOUNT ON YOU FIRST ORDER

Posted in Uncategorized