199.5,20.79199.3,20.79197.9,22.4198.4,22.67199.4,23.15199.9,23.35200.9,23.89201.1,23.99201.9,24.02201.3,24.01203.6,25.14204.6,26.57209.5,28.49208.6,27.76210.7,29.64211.9,29.88212.2,30.06

The data in problem 2.17 in the text gives the boiling point of water at different barometric pressures. (Data are available on Blackboard.) The following output is for a regression of boiling point on the barometric pressure. Refer to it to answer the questions below. Source df SS MS F p-value Regression 1 376.92 376.92 226.04 .000 Error 15 25.01 1.667 Total 16 401.94 Predictor Coeff SE Coeff T p-value Constant 163.93 2.655 61.74 0.000 barometric 1.5797 0.1051 15.03 0.000 a) (1) State the equation for the least squares regression line. b) (3) Refer to the coefficients table, what is the value of the test statistic and the pvalue for the (two-sided) test for the slope? Is there evidence that barometric pressure and boiling point are linearly related? c) (3) Determine the 95% confidence interval for the slope. d) (2) Refer to the AN OVA table, what are the values of the explained variation (SSR) and the unexplained variation (SSE)? e) (1) State the estimated variance, MSE. "Boiling Point F", "Barometric Pressure in Hg" 199.5, 20.79 199.3, 20.79 197.9, 22.4 198. 4, 22.67 199.4, 23.15 199.9,23.35 200.9, 23.89 201.1, 23.99 201.9, 24.02 201.3, 24.01 203.6, 25.14 204.6,26.57 209.5, 28.49 208.6,27.76 210.7, 29.64 211.9, 29.88 212.2, 30.06