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Posted: **Wed May 11, 2022 8:09 am**

: The Regression Equation Is Y 62 2 4 883x1 0 283x2 6 480x3 1 5463x4 1 3404x5 Predictor Coef Se Coef Tp Cons 1 (32.93 KiB) Viewed 24 times

The regression equation is Y = - 62.2 + 4.883X1 -0.283X2 + 6.480X3 + 1.5463X4 - 1.3404X5. Predictor Coef SE Coef TP Constant -62.2 109.1 -0.57 0.575 X1 4.883 2.314 2.11 0.053 X2 -0.283 1.348 -0.21 0.833 X3 6.480 2.436 2.66 0.019 X4 1.5463 0.5087 3.04 0.009 X5 -1.3404 0.9118 -1.47 0.163 S = 32.58834 R - Sq = 77.9% R - Sq(adj) = 70.0% = Analysis of Variance Source DF SS MSFP Regression 5 52410 10482 9.87 0.000 Residual Error 14 14868 1062.0 Total 19 67278

= One case in the sample has Y = 63, X1 = 17.X2 = 54, X3 = 14,X4 = 87,X5 = 105. What is the predicted response for this case? What is the residual? Round your answers to two decimal places. Predicted response: i Residual: i