How would you solve in Minitab with DOE using create response surface design and then, analyze response surface design? Please show all steps and settings in Minitab. Thanks!

9. The data shown in the Table below were collected in an experiment to optimize crystal growth as a function of three variables x1, x2, and x3. Large values of y (yield in grams) are desirable. Fit a second-order model and analyze the fitted surface. Under what set of conditions is maximum growth achieved? X1 X2 X3 -1 -1 -1 66 -1 -1 1 -1 1 -1 70 78 60 80 -1 1 1 1 -1 -1 1 -1 1 70 1 1 -1 100 1 1 1 75 100 -1.682 0 O 1.682 0 0 o -1.682 0 80 68 o o 1.682 0 63 0 -1.682 65 O 1.682 82 O o O O 113 O 0 0 100 o O 0 118 o o o 88 o O 0 100 0 0 o 85 Stat Graph Additional Tools Window Help ! ill. Asign Basic Statistics Regression ANOVA 100% on Navigator lavout Zoom DOE px-Behnken Design vX > > Screening Factorial Response Surface Mixture Taguchi > Create Response Surface Design... Select Optimal Design... > > > Control Charts Quality Tools Reliability/Survival Predictive Analytics Multivariate Time Series Tables Nonparametrics Equivalence Tests Power and Sample Size Analyze Response Surface Design... Analyze Binary Response... Modify Design... Display Design... > Predict... Factorial Plots... Contour Plot... Surface Plot... Overlaid Contour Plot... Response Optimizer... cart Stat Graph Additional Tools Window Help Basic Statistics > Asi 100% Regression ANOVA on > DOE > X > > > > > Control Charts Quality Tools Reliability/Survival Predictive Analytics Multivariate Time Series Tables Nonparametrics Equivalence Tests Power and Sample Size Navigator Tavout Zoom Screening px-Behnken Design Factorial > Response Surface Create Response Surface Design... Mixture Select Optimal Design... Taguchi Analyze Response Surface Design... Modify Design... Analyze BinartResponse... Display Design... Predict... Factorial Plots... Contour Plot... Surface Plot... Overlaid Contour Plot... Response Optimizer... > > > > > art Create Response Surface Design Type of Design Central composite (2 to 10 continuous factors) Box-Behnken (3, 4, 5, 6, 7, 9, or 10 continuous factors) Number of continuous factors: 3 Number of categorical factors: 0 Display Available Designs... Designs Factors... Options... Results... ? Reset Cancel OK