Create a series of tables that depict your results

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Problem of Practice Mock Study Development Template: Week Four

Complete each of the associated tasks below:

1) Create a series of tables that depict your results. Do not simply paste your output from SPSS; rather, prepare each table to demonstrate your ability to format according to APA guidelines.

2) Produce a graph of the frequency distribution and paste it below.

3) Describe your results.

4) What steps will you take if your data is not normally distributed?

Problem of Practice Mock Study Development Template: Week Six

Part I Instructions:

Run a multiple linear regression in SPSS using your mock data. Complete each of the associated tasks below. Refer to Section 9.9, “The Linear Model with Two or More Predictors (Multiple Regression),” in Ch. 9, “The Linear Model (Regression),” of Discovering Statistics Using IBM SPSS Statistics.

1) Create a series of tables that depict your results. Do not simply paste your output from SPSS; rather, prepare each table to demonstrate your ability to format according to APA guidelines.

2) Discuss the results of your multiple linear regression.

3) Test for multicollinearity in SPSS. Generate an APA formatted table to depict your multicollinearity results. Discuss your findings. If multicollinearity exists, what are your next steps (i.e., how does this affect your choice of independent variables)?

Part II Instructions:

Run a logistic regression in SPSS using your mock data. Complete each of the associated tasks below.

Refer to Section 20.5, “Binary Logistic Regression,” in Ch. 20, “Categorical Outcomes: Logistic Regression,” of Discovering Statistics Using IBM SPSS Statistics. Note: Review the requirements for logistic regression, as you may need to make some adjustments to your variables.

1) Create a series of tables that depict your results. Do not simply paste your output from SPSS; rather, prepare each table to demonstrate your ability to format according to APA guidelines.

2) Discuss the results of your logistic regression.

Reference no: EM132389105

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