if level 2 MINITAB was used to fit the model below to n y = 130 + PIXI Click the icon to view the MINITAB output. 1 = 15 data points, where Xl = and = 0 if not 1 if level 3 0 if not . Complete parts a through d. Data table The regression equation is Y = 85.0+16.4 Xl +41.6 X2 Predictor Constant s=9.129 Coef SE Coef 85.000 16.400 41 .600 4.077 5.889 5.889 20.85 2.78 7.06 p 0.000 0.017 0.000 R-sq = 80.5% R-Sq(adj) = 77.3% Analysis of Variance Source Regression Residual Error Total ss 4129.1 1000.0 5129.1 print MS 2064.6 83.3 p 0.000 2 12 14 24.79 Done