Why is it that my standard residuals appear to be non-linear yet the rest of my results appear linear? What does this imply in context to the topic? (strengths dependency on weight). If there is something wrong with my R script please let me know. Or if there is a reason as to why this has happened. 100 110 120Bench press standards per class of body weight (kg) - AverageSample Quantiles0680700.0 0.5 1.0-1.0-2.0OO60Scatterplot for averageO80-1.5 -1.00100-0.5Body Weight (kg)OQ-Q PlotO1200.0 0.5Theoretical QuantilesOO1.0140O1.5Ostdres0.0 0.5 1.0stdres-1.0-2.01.00.50.0-0.5-1.5 -1.0-2.0Std residuals versus explanatory variableOT09o80OO8090OOBody Weight (kg)OStd residuals versus fitsO100100OfitsO120110O120140130O Residuals:Min-10.531 -4.989Coefficients:10 Median3Q1.869 5.267(Intercept)`Body Weight (kg) `Signif. codes: 0 *** 0.001`Body Weight (kg) `ResidualsEstimate Std. Error t value Pr (>|t|)42.627556.209 0.0001570.626928.402 1.49e-05 ***7Residual standard error: 7.077 on 9 degrees of freedomMultiple R-squared: 0.8869, Adjusted R-squared:F-statistic: 70.6 on 1 and 9 DF, p-value: 1.492e-058> abline (Regression.model, col=4, lwd=3)> anova (Regression.model)Analysis of Variance TableResponse: Bench press standards per class of body weight (kg) - AverageSum Sq Mean Sq F valuePr (>F)6.865170.074611**/2Signif. codes:1**/0 *** 0.001> stdres<- rstandard (Regression.model)> print (stdres)1Max7.9509Df1 3536.0 3536.0 70.601 1.492e-05 ***9 450.850.10.01 * 0.05 ¹.0.1 1>qqline (stdres)> shapiro.test(stdres)3data: stdresW = 0.91857, p-value = 0.306910-1.4864868 -1.0645996 -0.5043759 0.2843252 0.6513863 1.10832911.1786018Shapiro-Wilk normality test0.87440.01 1*1 0.05. 0.1 140.9248828 0.5985440 -0.3245869 -2.023077611> plot (Body Weight (kg)`, stdres, main="Std residuals versusexplanatory variable")> fits<- fitted (Regression.model)> plot (fits, stdres, main="Std residuals versus fits")> qqnorm (stdres, main="Q-Q Plot")56

Given the residual standard residuals graphs as

Why is it that my standard residuals appear to be non-linear yet the rest of my results appear linear? What does this imply in context to the topic? (strengths dependency on weight). If there is something wrong with my R script please let me know. Or if there is a reason as to why this has happened.

Why is it that my standard residuals appear to be non-linear yet the rest of my results appear linear? What does this imply in context to the topic? (strengths dependency on weight). If there is something wrong with my R script please let me know. Or if there is a reason as to why this has happened.

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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