Summary of Fit RSquare RSquare Adj 0.673175 0.659743 Root Mean Square Error Mean of Response Observations (or Sum Wgts) 11.36538 106.8831 77 Analysis of Variance Sum of Source DF Squares Mean Square F Ratio Model 19422.399 6474.13 50.1203 Error 73 9429.549 129.17 Prob > F C. Total 76 28851.948 <.0001* Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept 29.593628 Sugars 7.186991 4.12 <.0001* 3.8623817 0.348158 11.09 <.0001* Sodium 0.0089653 0.016746 0.54 0.5940 Carbo 3.3058183 0.408135 8.10 <.0001* 1. Using the above JMP output, which of the predictors present concern to the overall model? Assume the response, y, is calories found in a cup of cereal.

Summary of Fit RSquare RSquare Adj 0.673175 0.659743 Root Mean Square Error Mean of Response Observations (or Sum Wgts) 11.36538 106.8831 77 Analysis of Variance Sum of Source DF Squares Mean Square F Ratio Model 19422.399 6474.13 50.1203 Error 73 9429.549 129.17 Prob > F C. Total 76 28851.948 <.0001* Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept 29.593628 Sugars 7.186991 4.12 <.0001* 3.8623817 0.348158 11.09 <.0001* Sodium 0.0089653 0.016746 0.54 0.5940 Carbo 3.3058183 0.408135 8.10 <.0001* 1. Using the above JMP output, which of the predictors present concern to the overall model? Assume the response, y, is calories found in a cup of cereal.

Name: Summary of FitRSquare0.6731750.659743RSquare AdjRoot Mean Square Erro
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Description: Summary of FitRSquare0.6731750.659743RSquare AdjRoot Mean Square ErrorMean of ResponseObservations (or Sum Wgts)11.36538106.883177Analysis of VarianceSum ofSourceDFSquares Mean SquareF RatioModel319422.3996474.1350.1203Error739429.549129.17 Prob > F

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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