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.

variable1 -1.60263 5.13511 6.36533 5.62218 -2.19935 6.44037 7.53576 6.84911 -0.96507 -7.97987 7.71148 8.00414 -1.84249 -6.64529 3.52281 6.12823 -8.02429 1.93739 1.60250 9.59542 0.97873 7.61991 6.35683 4.60624

variable2 6.66630 22.39796 48.04439 33.73949 13.13368 34.07411 57.43268 46.18391 2.31758 66.45126 60.12220 69.34776 -8.58487 35.44469 15.81326 42.51683 63.53322 10.39306 -1.67370 92.44574 -2.22144 66.59948 35.62167 15.37388

I must decide one of the following

1. Linear regression is not applicable because it appears that there are two linear patterns indicating that the data come from two populations.
2. Linear regression is not applicable because the point pattern is curvilinear.
3. Linear regression is not useful because the points have no discernible pattern.
4. You need more information before deciding to use linear regression.
5. The linear regression equation will be very useful because the points have a strong linear pattern.