B C variable1 variable2 -0.21582 0.89369 0.56997 -0.72620 -0.54850 -0.09185 -0.12385 0.50086 0.06975 -0.73607 0.16327 0.88498 -0.72595 -0.27512 0.22500 0.62647 -0.40463 0.92432 0.67652 0.56368 -0.82322 0.73005 0.06747 -0.74824 0.74055 0.79412 -0.71577 -0.04509 -0.82231 -0.70951 -0.47603 0.01573 0.58094 0.51169 -0.58573 0.10376 0.19003 -0.90089 -0.49528 0.04767 0.93083 -0.16886 0.61389 -0.65529 -0.91742 0.25296 -0.60957 -0.24747Regression - Assumption Regression - Assumptions Question 25 (4 points) You are required to setup a predictive equation involving variable 1 and variable 2. First, you plot the DATA to determine if linear regression applies. You decide Linear regression is not applicable because the point pattern is curvilinear (has a curve). Linear regression is not applicable because it appears that there are two linear patterns indicating that the data come from two populations. O The linear regression equation will be very useful because the points have a strong linear pattern. )Linear regression is not useful because the points have no discernible pattern. You need more information before deciding to use linear regression