The SAS System 1 14:26 Tuesday, March 20, 2018 The RSREG Procedure Coding Coefficients for the Independent Variables Factor Subtracted off Divided by temp 27.000000 7.000000 protein 37.500000 12.500000 Response Surface for Variable mean_WBC Response Mean 247.770231 Root MSE 13.651492 R-Square 0.8396 Coefficient of Variation 5.5097 Type I Sum Regression DF of Squares R-Square F Value Pr > F Linear 2 4319.881673 0.5310 11.59 0.0060 Quadratic 2 2490.160307 0.3061 6.68 0.0238 Crossproduct 1 20.457529 0.0025 0.11 0.7501 Total Model 5 6830.499509 0.8396 7.33 0.0105 Sum of Residual DF Squares Mean Square Total Error 7 1304.542564 186.363223 Parameter Estimate Standard from Coded Parameter DF Estimate Error t Value Pr > |t| Data Intercept 1 -615.124100 248.454367 -2.48 0.0425 263.341116 temp 1 47.201664 12.950471 3.64 0.0082 31.844747 protein 1 8.891756 6.587666 1.35 0.2191 8.738313 temp*temp 1 -0.753438 0.212372 -3.55 0.0094 -36.918473 protein*temp 1 -0.052447 0.158297 -0.33 0.7501 -4.589083 protein*protein 1 -0.090355 0.066441 -1.36 0.2160 -14.117981 The SAS System 2 14:26 Tuesday, March 20, 2018 The RSREG Procedure Sum of Factor DF Squares Mean Square F Value Pr > F temp 3 6381.889267 2127.296422 11.41 0.0044 protein 3 669.216987 223.072329 1.20 0.3784 The SAS System 3 14:26 Tuesday, March 20, 2018 The RSREG Procedure Canonical Analysis of Response Surface Based on Coded Data Critical Value Factor Coded Uncoded temp 0.416255 29.913786 protein 0.241822 40.522778 Predicted value at stationary point: 271.025444 Eigenvectors Eigenvalues temp protein -13.889361 -0.099146 0.995073 -37.147093 0.995073 0.099146 Stationary point is a maximum.