Sta 108 - Project 2 The Cl Hate {tsutinued} o Backgrond. The GUI data is described on pages 1349 and 135\" of the book. . Requirements: 1'. 1Er'ou are encouraged to work in small groups with 23 people in each group. Each group will submit one report, with the names of the group members on the front page. 2. The report should begin with a brief introduction {about one page), followed by the parts listed below. The introduction may include the halfpage introduction of your previous project, plus something about the current project. 3. The due date of the project is Monday, March '9, 202B, before or after the lecture. I: Date: Available at the Smartsite, or on {3D attached to the book. i The project has three parts: Part I: Multiple linear regression I. This part consists of Project ESE in the book, with the following additional part: E. New expand both models proposed above by adding all possible twofactor in teractions. Note that, for a model with X1, X3, X3 as the predictors, the twofactor interactions are X 1X2, X1X3,X2X3. Repeat part d for the two expanded models. Port ll: Matiple linear regression ll. This part consists of Project 7.3? in the book, with the following ehmrges. I. Take out variable XE, that is, you will not mnsider the total serious crimes (X5) as a predictor in this project. Make the corresponding changes in parts a c. 2. Add the following part: [1. lUompute three additional meicients of partial determination: H? x3, .1: II 1'1, X2! Hzxalslxhxy and Hxhxalxhxi. Which pair of predictors is relatively more im portant than other pairs? Use the F test to find out whether adding the best pair to the model is helpful given that X1, X2 are already included. Part Ill: scaesims. Discuss about your results from a practical standpoint. What particular parts of the course material do you find most relevant to your analysis in l-Ll... .-._n:..-...-..l- are." +..-.. In... ..-....-. \"nan-H1... n... \"an":ltl'l'? it\"... ..-......-...-..-...-.-.|-:..-.-.-...-. n... L..-.... on. Lunau\