Assignment: Testing for Multiple Regression
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.