2. As machines are used over long periods of time, the output product can get off target. Below is the average value of how much off target a product is getting manufactured and the time the machine has been in use: Hours of Machine Use (x) 29 30 34 35 38 44 47 Millimeters Off Target (y) 1.10 1.21 1.25 1.23 1.30 1.40 1.42 Ex = 257, Ey =8.91, Exy = 331 49, Ex- = 9711, Vy = 11.4159 off target and interpret your answer. b) Determine the estimated intercept of the regression line. c) Suppose the estimate for the gradient of the slope is 0.0159, determine if the number of hours the machine is in use for has a significant effect on the millimeters it is off target for (use a 5% level of significance)