Regression - Assumptions variable1 variable2 5.92418 16.01040 2.15342 6.90096 Question 25 (4 points) 5 -5.68710 3.20965 You are required to setup a predictive equation involving variable 1 and variable 2. 6 -2.35173 8.11837 First, you plot the DATA to determine if linear regression applies. You decide 9.13267 20.86393 8.84593 17.88436 0.60205 11.33976 The linear regression equation will be very useful because the points have a 10 4.30225 13.72104 strong linear pattern. 11 -9.69073 0.22652 12 6.81619 2.88607 Linear regression is not applicable because it appears that there are two linear 13 7.00841 14.48358 14 4.48845 15.56499 patterns indicating that the data come from two populations. 15 3.06470 11.36857 16 -9.46731 1.14076 You need more information before deciding to use linear regression. 17 1.54090 12.95229 18 4.20144 5.79307 19 6.11798 15.91570 OLinear regression is not useful because the points have no discernible pattern. 20 9.94412 16.96745 21 1.32124 10.86254 OLinear regression is not applicable because the point pattern is curvilinear (has a 22 -7.69106 1.10462 curve). 5.89874 15.93450 24 0.72913 10.47150 25 8.39173 17.99690 26 9.46846 0.72233 Previous Page Next Page