Testing For Multiple Regression

Please follow the assignment requirements that are attachment closely!!!!!

You had the chance earlier in the course to practice with multiple regression and obtain peer feedback. Now, it is time once again to put all of that good practice to use and answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables.

#### Part 1

**To prepare for this Part 1 of your Assignment:**

- Review this week 9 and 10 Learning Resources and media program related to multiple regression.
- Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
- Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.
- Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.

**For this Part 1 Assignment:**

Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.

Use proper APA format, citations, and referencing for your analysis, research question, and display of output.

#### Part 2

**To prepare for this Part 2 of your Assignment:**

- Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.
- Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
- Consider the following:
- Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results.
**Note:**You are expected to perform regression diagnostics and report that as well.

- Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results.
- Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.

**For this Part 2 Assignment:**

Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.

Use proper APA format, citations, and referencing for your analysis, research question, and display of output.

__Week 10 Assignment How To Complete The Assignment__

Part 2 is a repetition of this Week’s Discussion requirement. You are not required to submit Part 2 of this assignment.

Review the Week 10 Course Materials

Use the dataset for this discussion

For Part 1 identify 2 independent variables (IV1 and IV2) and their Level of Measurement.

Identify a dependent variable (DV) and its Level of Measurement. The DV *must* be interval or ratio.

Write a research question for multiple regression. Use this format:

What is the relationship between IV1 and IV2 (state the IVs) and the DV (state the DV)?

Write the null hypothesis. Use this format:

There is no relationship between IV1 and IV2 and the DV.

State the research **design **and support your design choice. Here are your design choices:

-Descriptive

-Correlational

-Causal-Comparative/Quasi-Experimental

-Experimental

Write the null hypothesis. Use this format:

There is no relationship among IV1 and IV2 and the DV.

Use SPSS to answer the research question.

Now run your multiple regression by following the same steps (with some additions) that you used in the Week 9 Discussion:

Open the data set, select *Analyze*, select *Regression*, Select *Linear*, drag *IV1* and *IV2* into the *Independent(s)* box and the *DV* into the *Dependent box*, click *Statistics, *check* Estimate, *check* Model Fit, *check* Collinearity diagnostics *and click *Continue. *Click* Plots, *drag* *ZRESID *into the* Y *box*, *drag* *ZPRED *into* *the* X *box, check *Normal Probability plot* and click Continue

Review the Sig. value in the SPSS Output under *ANOVA* and decide to reject or fail to reject the null hypothesis.

If you reject the null and determine that the *ANOVA* is statistically significant, report and explain the effect size. Effect size is found under *R square* in the *Model Summary*.

If you fail to reject the null hypothesis, select __new__ variables and repeat 1-3 steps above.

You __must__ discuss assumptions for multiple regression. These assumptions are: normality, linearity, homoscedasticity and multi-collinearity:

*Identify* each assumption, *decide* if the assumption is met or not met, and *explain* the rational for your decision. Use the SPSS Output for *Estimate, Model Fit, Collinearity diagnostics *and* Plots *to support your decision.

Write the regression equation. Here’s how:

Examine the *Coefficients* output and identify the *Constant* value under *Unstandardized Coefficients* in column *B* and the coefficient values for IV1 and IV2 directly below the *Constant* value. Write your regression equation in this format:

DV = *Constant* value + IV1(coefficient value) + IV2(coefficient value), but substitute the names of IV1, IV2 and the DV and the actual *Constant* value and coefficient value for IV1 and IV2.

Discuss implications for social change.

For Part 2:

Part 2 is a repetition of this Week’s Discussion requirement. You are not required to submit Part 2 of this assignment.