Residuals vs Leverage 026 0.5 8. 0.5 08 250 Cook's distance 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 Leverage glm(biomass ~ basalDiam + leaves) These two figures indicate that: the variance of the residuals are constant and there is a linear relationship between the dependent variable and the predictor variables the variance of the residuals are constant and residuals are normally distributed Std. Pearson resid. -3 -2 -1 1. 2. o °o

Residuals vs Leverage 026 0.5 8. 0.5 08 250 Cook's distance 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 Leverage glm(biomass ~ basalDiam + leaves) These two figures indicate that: the variance of the residuals are constant and there is a linear relationship between the dependent variable and the predictor variables the variance of the residuals are constant and residuals are normally distributed Std. Pearson resid. -3 -2 -1 1. 2. o °o

Name: The following two figures were obtained through a linear regressionan
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Description: The following two figures were obtained through a linear regressionanalysis.Normal Q-Q2600o 0000 00000000000008 O07-2-112Theoretical QuantilesStd. deviance resid.-2-11.2. Residuals vs Leverage0260.5-10.508 250Cook's distance0.000.050.100.150.200.250

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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