please show me how i would do this all in JMP

NUL del 24 The quality of Pinot Noir wine is haght to be 1 to the properties of clarity, aroma, body, ever, and Oakiness. Data for 38 wines are given in ' Te AE.10. ble 4.10 Wine Quality Data Body, Flavor, akiness DIT Aroma, 3.3 4.4 X 3.1 3.5 4.8 3.1 5.5 X 2B 4.9 5.3 2.6 5.1 4.7 4.8 4.5 4.1 3.9 4.7 3.6 5.1 98 125 119 $ 1 5 11.1 133 12.8 128 12 1 4.8 1 1 3 3.9 3,9 5.6 4,6 4.8 5.3 4.3 4.3 5.1 3.3 5.9 7.7 7.1 5.5 6.3 5 4.1 3.3 5.2 2.9 3.9 3.6 4.3 3.9 4.7 4.5 4.3 7 1 13.6 13.9 14.4 12.3 16.1 3 1 4.3 3.9 4.3 5.4 5.7 6.6 4.4 5.6 Si 3.6 4.1 0.5 3.7 0.8 0.7 2 3 3 3 3 4.1 16.1 15.5 15.5 13.8 1 09 6.7 5.8 5.6 4.8 5.5 4.3 3.4 4.4 4.6 4.1 3 1 5.4 5.5 4.1 5 1 13.8 11.3 7.9 3 1 2 o 3.1 3.4 4.8 1 09 09 4.6 3.4 6.4 5.5 3 15.1 3 6.6 5.3 5 3.8 5.4 5.3 4.1 4 1 3.7 13.5 10.8 95 2 2 e 4.7 0.7 07 4 4.1 4.1 5.7 1 6 5.4 4.6 4.7 4.9 12.7 11.6 11.7 4.7 4.3 1 5.1 1 5.1 3.9 4 4 11.9 5 1 5.1 4.9 4.4 an an 5.1 4.4 10.B 5 8.5 3.9 4.5 39 1 3.7 2.9 10.7 6 1 4.3 on 5 5.2 exercises E-17 el In 1 1 3 1 1 1 Clarity, Aroma, Body, Flavor, Oakiness, Quality, x X2 Xz X4 y Region 0.8 4.2 3.8 4.7 9.1 3.3 3.5 4.3 4.5 6.8 5 6 5.2 14.9 0.8 5 5.7 5.5 4.8 13.5 0.8 3.5 4.7 4.2 3.3 12.2 0.8 4.3 3.5 5.8 10.3 0.8 5.2 4.8 5.7 3.5 13.2 12.1 1 3 1 1 5.5 1 1 a The wine here is Pinot Noir. Region refers to distinct geographic regions. a. Fit a multiple linear regression model relating wine quality to these predictors. Do not include the Region" variable in the model. b. Test for significance of regression. What conclu- sions can you draw? c. Plot the residuals and comment on model ade- quacy. d. Discuss the contribution of each regressor to the model. Would a model with fewer regressors be a satisfactory? 40