please help! thank you!!

Consider the multiple regression output shown: The regression equation is Y = 46.0 - 6.8X1 + 1.48X2 + 1.89X3 + 0.435X4. Predictor Coef SE Coef T P Constant 46.02 19.92 2.31 0.060 X1 6.797 1.055 -6.44 0.001 X2 1.477 1.033 1.43 0.202 X3 1.8933 0.6690 2.83 0.030 X4 0.4347 0.1444 3.01 0.024 S = 2.04939 R - Sq = 99.8% R - Sq(adj) = 99.6% Analysis of Variance Source DF SS MS F P Regression 4 11042.4 2760.6 650.66 0.000 Residual Error 6 25.2 4.2 Total 10 11067.6 One case in the sample has Y = 25, X1 = 8, X2 = 6, X3 = 4, and X4 = 49. What is the predicted response for this case? What is the residual? Round your answers to one decimal place. Predicted response: i Residual