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.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Question

Transcribed Image Text:Summary of Fit
RSquare
0.673175
0.659743
RSquare Adj
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
3
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
7.186991
4.12
<.0001*
Sugars
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.
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