Fit these data with a regression model of the form y = qx + r. plot the observed numbers of accidents and the predicted nun1bers. what is the sum of squares of errors? ls this model significantly better than the model in part (a)? repeat the calculations in part (b) by first shifting the x-values to 1nake the average x-value be o [see equations (21)j.

area = length x width

length = 2 x width

32 = 2 x width x width

32 = 2 x width^2

36 = width ^2  

width = 6

length = 12

area is 32

perimeter = 2 x 12 + 2 x 6 = 24 + 12 = 36

step-by-step explanation:

answer: 1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000

step-by-step explanation: