Residual plot for Gadus morhua fish length (mm) versus weight (g) regression Ans
ID: 3072530 • Letter: R
Question
Residual plot for Gadus morhua fish length (mm) versus weight (g) regression Answer Bank -50 2-100 150 200 as the independent variable changes, the vertical distance of the residuals changes 0 500 1000 1500 2000 2500 3000 exhibits constant variance Fish weight (g) indicates that the linear Residual plot for ecological footprint consumption per capita versus human development index regression model may be a good fit o O follows non-linear pattern roughly symmetric about the regression line 0.4 0.5 0.6 0.7 0.8 0.9 follows random pattern Human development index shows that the linear model Residual plot for flower anther height (mm) versus petal length (mm) regression (for Kobe region) is not a good fit 0 exhibits non-constant variance 2-1 Scroll 10 12 13 14 15 16 Anther height (mm)Explanation / Answer
If the linear model is a good fit then the plotted points (residuals) are random around the horizontal line.
1. shows that the linear model is not a good fit; The residuals form a U shape. For a good model, the residuals should be randomly scattered.
2.follows non-linear pattern.
3. follows random pattern, indicates that the linear model may be a good fit
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