To prepare for Discussion Part 1 :Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the General Social Survey that can be answered by multiple regression.By Day 3Use SPSS to answer the research question. Post your response to the following: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 variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the 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.To prepare for Discussion Part 2 :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.Create a research question using the General Social Survey dataset that can be answered by multiple regression. Using the SPSS software, choose a categorical variable to dummy code as one of your predictor variables.By Day 3Estimate a multiple regression model that answers your research question. Post your response to the following:What is your research question?Interpret the coefficients for the model, specifically commenting on the dummy variable.Run diagnostics for the regression model. Does the model meet all of the assumptions? Be sure and comment on what assumptions were not met and the possible implications. Is there any possible remedy for one the assumption violations?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.

Attempt HistoryAttemptTimeScoreLATESTAttempt 16 minutes0 out of 10 ** Some questions not yet graded Correct answers are hidden.Score for this attempt: 0 out of 10 *Submitted Apr 30 at 11:16amThis attempt took 6 minutes.Learn by DoingSome features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.A list of StatCrunch directions is provided at the bottom of this text-box.ContextRecall the following example: The average gestation period, or time of pregnancy, of an animal is closely related to its longevity—the length of its lifespan. Data on the average gestation period and longevity (in captivity) of 40 different species of animals have been recorded.For the StatCrunch problem, you will analyze data for 40 species of animals in captivity. Variablesanimal: the name of the animal speciesgestation: the average gestation period of the species, in dayslongevity: the average longevity of the species, in yearsThe explanatory variable is average lifespan (longevity.) The response variable is length of pregnancy (average gestation period.)DataDownload the animals (Links to an external site.) datafile. Then upload the datafile in StatCrunch. If you need a reminder about how to do this, review the list of StatCrunch directions below.PromptIn the first question you will produce a scatterplot in StatCrunch (with longevity as the explanatory variable and gestation as the response variable) and then use StatCrunch to calculate the correlation coefficient.List of StatCrunch DirectionsPurchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (do not take screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (do not post attachments; please use these directions)Copy and Paste StatCrunch Text OutputCreate a Scatterplot in StatCrunchProduce the Correlation Coefficient in StatCrunchHere is a PDF document with all StatCrunch directions (Links to an external site.).Question 1Not yet graded / 10 ptsThese directions assume you have downloaded the animals datafile and uploaded it in StatCrunch. If you have not, please see the Data section above.Use StatCrunch to create a scatterplot with longevity as the explanatory variable and gestationas the response variable. (directions)Download the StatCrunch output window (your scatterplot) and upload it to your Stats-Classfolder in Canvas.Embed the .png file for your scatterplot in the text-box below.Use StatCrunch to produce the correlation coefficient. (directions)Copy the Correlation "text" output and paste it in the text-box below. (directions)Correlation between gestation and longevity is: 0.66323967Correlation between gestation and longevity is:0.66323967Score: 0 out of 10