# Discussion: Multiple Regression

Reeb79
__6210 Week 9 Discussion: How To Complete The Discussion Requirement__

Review the Week 9 Course Materials

Use the data set dataset for this Discussion

Be sure to submit your SPSS Output to the Discussion Board along with your analysis.

Identify 2 independent variables (IV1 and IV2) and their Level of Measurement. The IV1 and IV2 can be interval, ratio, nominal, or ordinal.

Identify the 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 IV2s (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.

Use SPSS to answer the research question. Here’s how:

1. Open the GSS data set, select *Analyze*, select *Regression*, Select *Linear*, drag IV1 and IV2 into the Independent(s) box and the DV into the *Dependent box*, and click *OK*.

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

3. 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*.

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

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. Here’s an example:

If *Socioeconomic Status* is the DV, *Age* is IV1 and *Highest Degree* is IV2, then your equation could look like this:

*Socioeconomic status* = 15 + (.114)(*Age)* + (11.3)(*Highest Degree)*

Do not use these numbers. Do your own calculations.