Partial Correlation &Multiple Regression

Project 9 — Partial Correlation &Multiple Regression


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  1. Partial Correlation


  1. Examine this partial correlation output. The goal is to see the effect of social learning from significant others (measured as an index scale) on an individual’s degree of crime worry.  (a) What is the original zero-order correlation?  (b) What happens when three other variables are used as controls on the relationship (the third-order correlation)?  (3 points)






  1. Using the State class dataset, request a partial correlation of “prison expenditures” with the “violent crime rate” as your dependent variable. Add “percent population living below the poverty level” and two more appropriate variables as your controls. Make sure you have the zero-order correlations as well as the partial correlations. What is the zero-order relationship?  Compare the zero-order correlation to the partial correlation. Were there any changes?  If so, what do you think caused the changes?  Include any necessary SPSS output to support your answer.  (5 points)



  1. Multiple Regression


  1. Examine the multiple regression output below. The dependent variable is worry about crime and eight variables are used in an attempt to explain worry about crime.  (a) How well did all of the variables explain the dependent variable?  (b) Which variables are the best predictors? (c) Test H1: Higher levels of household income lead to increased worry about crime. Support your answers, citing evidence from the output.  (5 points)





  1. From the Court Survey data set (“court survey data.sav”), use “Rating for Trust in Defendant” as your dependent variable. Add any four appropriate variables to a Multiple Regression and explain your results. Copy and paste any necessary SPSS output to support your answer. (7 points)

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