Testing for Multiple Regression In Week 9, you completed your Part 1 for this Assignment. For this week, you will complete Part 2 where you will create a research question that can be answered through multiple regression using dummy variables. 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. 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. HS_Long_Study_[student].sav GSS2014_student_8210_(6).sav Dummy Variables Dummy Variables Program Transcript DR. MATT JONES: Hi everybody, this is Dr. Matt Jones from the Center for Research Quality here to talk to you today about constructing dummy variables in SPSS. The purpose behind our conversation today is to show you how to construct these dummy variables to use as independent variables when you are fitting a multiple regression model or constructing a multiple regression model, And I have in front of us the Afro barometer data set. I've greatly simplified it for the purpose of this demonstration. You'll see, there are obviously only three variables in it, country in alphabetical order, country by region, and trust in government index. Now I might want to construct a variable or use a variable, country by region, that that might be relevant to my research question or might be an important controlling variable that I need to use in my multiple regression analysis. And it's very tempting just to throw it in as an independent variable as it is here. SPSS will allow me to do that. It will produce some output for that variable or coefficient so forth and associated p values. But the statistics generated really won't necessarily make any sense unless I'm creating a dummy variable or set of dummy variables from this original variable. So if I go and click on values here, you'll see that there are five 4 attributes or four groups to this variable country by region, West Africa, East Africa, Southern ...