Note: Conduct all individual tests at a=0.05 significance level, and all multiple comparisons at an experiment-wise error rate of aE = 0.05. Q.1. A regression model was fit, relating airline operating costs (Y, in cents per revenue ton-mile) for n = 31 airlines to the following predictors: X1 = Average Flight Length (miles) X2 = Daily Flight Time per Aircraft (hours) X3 = Ton-Mile Load Factor (proportion) X4 = Available Capacity (tons per mile) p.I.a. The following models were fit where the predictors for the given models are included. Complete the following table, where the Total sum of squares is TSS = 610938. Show your work for any partial credit. Model Predictors p' SSE R12 Cp AIC BIC 1 X3 316772 8.70 290.190 293.058 2 X3, X1 301952 0.5058 290.705 295.007 3 X3, X1,X4 246501 0.5965 4.78 292.151 4 X3, X1, X4, X2 230709 0.6224 5.00 286.363