Also part c exist. Refer to the regression model. What is the estimate of the standard deviation of the regression model? (0.076, 3.051, 2.974, 1.747, 1.725)

BERTA eClass Steel rods are widely used in the construction industry. Suppose a manufacturer of steel rods is experimenting with a new technology that is supposed to increase the mean breaking strength of the rods. A random sample of 14 rods was obtained with old technology (OLD) and another random sample of 14 was obtained with the new technology (NEW). The breaking strength of each rod in the two groups was determined (in psi, pounds per square inch). Then, the 14 new technology rods were subjected to high pressure in three high pressure chambers and the breaking strength of each of the 14 rods was determined again (NEWHPRESS) OLD 52 55 45 48 43 63 54 60 58 70 52 68 58 46 NEW 65 67 55 69 66 74 70 50 56 63 58 58 55 NEWHPRESS 70 71 62 77 73 72 78 76 62 62 66 62 60 62 Consider this simple linear regression model to answer the next 3 questions. NEWHPRESS = Bo + B1*NEW + e, where e ~ N(0, o) a. What percent of variation in the breaking strength of new technology rods after high pressure treatment is explained by the breaking strength of new technology rods before the treatment? 93.31% 13.39% 87.06% O.98.28% 96.6% b. Refer to the regression model. What is the equation of the estimated regression line (least-squares regression line)? NEWHPRESS = 0.954 + (-1.567)*NEW ONEWHPRESS = 0.076 + 0.978*NEW