(a) 1. Study the MINITAB regression output that follows. How many predictors are there? What is the equation of the regression model? Find out the strength of the model and the predictors 04 MINITAB Output Regression Analysis: Y versus X1, X2, X3, X4 The regression equation is Y = -55.9 + 0.0105 X1 - 0.107 X2 + 0.579 X3 - 0.870 X4 Predictor coef SE coef T P Constant -55.93 24.22 -2.31 0.025 X1 0.01049 0.02100 0.50 0.619 X2 -0.10720 0.3503 -3.06 0.003 X3 0.57922 0.07633 7.59 0.000 X4 -0.8695 0.1498 -5.81 0.000 S = 9.025 R-sq = 80.2% R-sq(adj) = 783.7% Analysis of Variance Source DF SS MS F P Regression 4 18088.5 4522.1 55.52 0.000 Residual Error 55 4479.7 81.4 Total 59 22568.2