MULTIPLE REGRESSION

To prepare for this Discussion:

• Create a research question using the HS Long Survey Dataset, that can be answered by multiple regression.
• Use SPSS to answer the research question. Post your response to the following:

1. If you are using the HS Long Survey Dataset, report the mean of X1SES.
2. What is your research question?
3. What is the null hypothesis for your question?
4. What research design would align with this question?
5. What dependent variable was used and how is it measured?
6. What independent variables are used and how are they measured? What is the justification for including these predictor variables?
7. If you found significance, what is the strength of the effect?
8. Explain your results for a lay audience, explain what the answer to your research question.

Be sure to support your Main Post and Response Post with reference to the week's Learning Resources and other scholarly evidence in APA Style.

Descriptive Statistics N Minimum Maximum Mean Std. Deviation T1 Socio-economic status 5210 -1.75 2.57 .0545 78061 composite T1 Parent 1: highest level 4096 1 7 2.98 1.379 of education Valid N (listwise) 4006 Variables Entered /Removed* Variables Variables Model Entered Removed Method 1 T1 Socio- Enter economic status composite\" a. Dependent Variable: T1 Parent 1: highest level of education b. All requested variables entered. Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 795 -632 -632 -837 a. Predictors: (Constant), T1 Socio-economic status composite ANOVA" Sum of Model Squares df Mean Square F Sig 1 Regression 4816.182 1 4816.182 6870.856 <.001 residual .701 total a. dependent variable: t1 parent highest level of education b. predictors: socio-economic status compositecoefficients standardized unstandardized coefficients model b std. error beta t sig. .016 composite>