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The regression equation is Weight - 668 + 485 Length Predictor Constant Coef SE Coef -668.3 485.21 T P 232.8 -2.87 0.024 Length 90.63 5.35 0.001 S = 194.794 R-Sq = 80.4% R-Sq(adj) = 77.6%

The regression equation is Weight - 668 + 485 Length Predictor Constant Coef SE Coef -668.3 485.21 T P 232.8 -2.87 0.024 Length 90.63 5.35 0.001 S = 194.794 R-Sq = 80.4% R-Sq(adj) = 77.6%

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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  1. Researchers studying tigers collected data on the length (in meters) and weight (in kilograms) of the animals. Is there statistically significant evidence that the length of tigers is related to their weight? 
The regression equation is Weight = - 668 + 485 Length Predictor Coef SE Coef T P Constant -668.3 232.8 -2.87 0.024 Length 485.21 90.63 5.35 0.001 194.794 R-Sq 80.4% R-Sq(adj) = 77.6% S = %3!
Transcribed Image Text:The regression equation is Weight = - 668 + 485 Length Predictor Coef SE Coef T P Constant -668.3 232.8 -2.87 0.024 Length 485.21 90.63 5.35 0.001 194.794 R-Sq 80.4% R-Sq(adj) = 77.6% S = %3!
Histogramof the Residuals (response is Weight) Scatterplot of Weight vs Length 1200어 1000- 1- 800- G00- 400- 200 300 -200 -100 100 20 300 -400 0- Residual 20 30 2.5 Length 15 3.5 4.0 Residuals Versus the Fitted Values (response is Weighe) 400 300- 200- 100- 0- -100어 -200- -300- -400- 200 400 600 800 1200 Rtted Value Au anba
Transcribed Image Text:Histogramof the Residuals (response is Weight) Scatterplot of Weight vs Length 1200어 1000- 1- 800- G00- 400- 200 300 -200 -100 100 20 300 -400 0- Residual 20 30 2.5 Length 15 3.5 4.0 Residuals Versus the Fitted Values (response is Weighe) 400 300- 200- 100- 0- -100어 -200- -300- -400- 200 400 600 800 1200 Rtted Value Au anba
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