1. An engineer investigating a certain metal's electrical resistivity dependence on temperature, where x is the temperature in F, and Y is the electrical resistivity in no-m, collects the following data: i Xi 50 99 2 150 115 3 250 128 a) Find the equation for the least-square best-fit regression line. b) Use the best-fit regression line to predict the electrical resistivity of the metal at a temperature of 300 F. c) Find the 95% confidence interval for the true linear regression slope parameter, 1. d) Based on your answer to part (c), would a two-tailed hypothesis test on the claim B1 = 0.0 result in the rejection of the null hypothesis at a = 0.05 significance level? Briefly explain your