Problems 1. Thirty-two data points The computer output fro ab Vu dat y and X are...
15. {Exercise 12.23 (Algorithmic)} Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 3 8 6 12 14 The estimated regression equation is ŷ = 0.8 + 2.6x. Compute the mean square error using the following equation (to 3 decimals). Compute the standard error of the estimate using the following equation (to 3 decimals). Compute the estimated standard deviation b1 using the following equation (to 3 decimals). Use the t test to...
Section 12.3 Multiple Linear Regression: Number ONE: Statistical software was used to fit the model E(y)Pox1 2x2 to n 20 data points. Complete parts a through h EEB Click the icon to see the software output. Data Table The regression equation is Y-1738.93 - 384.54x1 517.39x2 Predictor Constant X1 X2 Coef 1738.93 - 384.54 -517.39 SE Coef 369.06 101.65 - 3.78 0.002 353.04 - 1.47 0.162 4.71 0.000 s-172.003 R-sq-55.0% R-sq(adj):49.0% Analysis of Variance MS Source Regression Residual Error 17...