Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. By Day 3 Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variables are used and how are they measured? What is the justification for including these predictor variables?If you found significance, what is the strength of the effect?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. Use the General Social Survey data set and construct a research question that can be answered using multiple regression. To do this you will need to selectthreevariables that are measured on aninterval or ratio level. In SPSS they will be listed asscaledata in the variable view. Select two IVs (AKA predictor variables) that could be used to predict the value of the DV (AKA, criterion variable or outcome variable). For example, the length and the weight of a car (predictor variables) could be used to predict its miles per gallon (outcome variable). Use an alpha level of .05 for these analyses. In this week’s video example, 3 variables were selected from the GSS data set. Note that our data set has been edited and is not exactly the same as theirs. You can follow along and you should get similar results, but you will not get exactly the same values. That is OK, remember, we have a revised data set that is a little different than the one used for the video example. Here are the variables used in the example: DV = sei10, R's socioeconomic index (2010) IV 1 = prestg10, Rs occupational prestige score (2010) IV 2 = educ, HIGHEST YEAR OF SCHOOL COMPLETED Do Not use these variables for your discussion or application assignment for multiple regression. Reading the Output & Reporting Results Model Summary The overall Model Summary shows the R, R Square, and Adjusted R Square. In my experience, we typically report the R Square value. Yet our video recommends reporting theAdjusted R square. For this example, R square and Adjusted R square are the same,R2= .787. However, sometimes they will be different. Because we have conflicting information, you may report either. However, clearly state whether you are reporting R square or the adjusted R square. NOTES: - all three variables should be interval or ratio variables. They should be listed as scale variables in your data set - the variable you wish to predict should be entered as the DV - leave the Method as “Enter”, this is referred to as a standard regression and it enters all of the IVs at the same time, whether or not they are significantly related to the DV - select Only 2 IVs for the discussion and assignments for multiple regression. You should address all of the following: -State your research question - State your null hypothesis - Describe your outcome variable (DV) and how it was measured. - Describe the predictor variables (IVs) and how they were measured. (Select 2 and only 2 IVs) - explain whether one IV was a control and if so, why - explain the rationale for selecting IVs - clearly identify the name of the variables as they appear in the data set - Indicate whether the overall model was significant or not, explain how you know - indicate whether each of your two predictors were significant or not, explain how you know - report the results of your multiple regression analysis in APA format, interpret the effect size usingRsquare (see pp. 440 – 441, and p. 450 in your text and my example below) - ensure you clearly explain whether the variables are significant predictors or not and state the regression equation for for your results (use my example above as a guide). - Discuss implications for positive social change -do not use sei10, educ, and prestg10 as your variables!