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Analysis of Variance Sum of Squares Mean Square F Ratio 409.664 350.8665 1.168 Prob>F <.0001* Source DF Model Error C. Total 2 819.32795 7 8.17305 9 827.50100 1. Calculate R² 2. Calculate Adjusted R² 3. Calculate ✓MSE Summary of Fit RSquare RSquare Adi Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.990123 0.987301 1.080545 51.73 10

Analysis of Variance Sum of Squares Mean Square F Ratio 409.664 350.8665 1.168 Prob>F <.0001* Source DF Model Error C. Total 2 819.32795 7 8.17305 9 827.50100 1. Calculate R² 2. Calculate Adjusted R² 3. Calculate ✓MSE Summary of Fit RSquare RSquare Adi Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.990123 0.987301 1.080545 51.73 10

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Based off of the ANOVA table please help me calcuate the following (attached)

Analysis of Variance Sum of Squares Mean Square 819.32795 409.664 8.17305 1.168 Source DF 2 Model Error C. Total 7 9 827.50100 1. Calculate R² 2. Calculate Adjusted R² 3. Calculate ✓MSE F Ratio 350.8665 Prob>F <.0001* Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.990123 0.987301 1.080545 51.73 10
Transcribed Image Text:Analysis of Variance Sum of Squares Mean Square 819.32795 409.664 8.17305 1.168 Source DF 2 Model Error C. Total 7 9 827.50100 1. Calculate R² 2. Calculate Adjusted R² 3. Calculate ✓MSE F Ratio 350.8665 Prob>F <.0001* Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.990123 0.987301 1.080545 51.73 10
Expert Solution
Step 1

We have given the ANOVA table,

Source DF Sum of Squares Mean Square F-Ratio
Model 2 819.32795 409.664 350.8665
Error 7 8.17305 1.168  
C. Total 9 827.50100    

The number of observations n=10,

SSW=819.32795,

SSE=8.17305,

TSS=827.50100.

MSE=1.168

 

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