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2. Use the output below to assess whether the Quetelet index (QUET = 100*weight/height²) is useful in the model. Analysis of Variance Source DF Seq SS Adj ss Adj MS F Regression 4 5054.95 5054.95 1263.74 24.8873 0.000000 737.23 14.5186 0.000729 1 3861.63 737.23 828.05 568.24 200.14 113.52 165.13 165.13 165.13 27 1371.02 1371.02 50.78 31 6425.97 AGE SMK 1 QUET 1 QUET QUET 1 Error Total 23 P 568.24 11.1905 0.002426 113.52 2.2355 0.146468 3.2519 0.082513

2. Use the output below to assess whether the Quetelet index (QUET = 100*weight/height²) is useful in the model. Analysis of Variance Source DF Seq SS Adj ss Adj MS F Regression 4 5054.95 5054.95 1263.74 24.8873 0.000000 737.23 14.5186 0.000729 1 3861.63 737.23 828.05 568.24 200.14 113.52 165.13 165.13 165.13 27 1371.02 1371.02 50.78 31 6425.97 AGE SMK 1 QUET 1 QUET QUET 1 Error Total 23 P 568.24 11.1905 0.002426 113.52 2.2355 0.146468 3.2519 0.082513

MATLAB: An Introduction with Applications
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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Using General Linear Test

2. Use the output below to assess whether the Quetelet index (QUET = 100*weight/height²) is useful in the model. Analysis of Variance Source DF Seq SS Adj SS Adj MS Regression 4 5054.95 5054.95 1263.74 24.8873 0.000000 1 3861.63 737.23 737.23 14.5186 0.000729 AGE SMK 1 QUET 1 QUET *QUET 1 Error Total 27 31 F P 828.05 568.24 568.24 11.1905 0.002426 0.146468 0.082513 200.14 113.52 113.52 165.13 165.13 165.13 1371.02 1371.02 6425.97 50.78 2.2355 3.2519
Transcribed Image Text:2. Use the output below to assess whether the Quetelet index (QUET = 100*weight/height²) is useful in the model. Analysis of Variance Source DF Seq SS Adj SS Adj MS Regression 4 5054.95 5054.95 1263.74 24.8873 0.000000 1 3861.63 737.23 737.23 14.5186 0.000729 AGE SMK 1 QUET 1 QUET *QUET 1 Error Total 27 31 F P 828.05 568.24 568.24 11.1905 0.002426 0.146468 0.082513 200.14 113.52 113.52 165.13 165.13 165.13 1371.02 1371.02 6425.97 50.78 2.2355 3.2519
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