Interpret each residual plot using the appropriate descriptions. Identify all of the descriptions that apply for each residual plot. Residual plot for parrot culmen length (mm) versas pamot wing length (mm) regression Answer Bank exhibits constant variance follows non-lincar pattern 60 100 exhibits non-constant Parrot wing length (mm) variance Residual plot for Gadus mortua fish weight (g) versas length (mm) regression roughly symmetric about the regression line as the independent variable changes, the vertical 500 - distance of the residuals changes 100 200 300 40 sốo 6ỏ0 70 Fish length (mm) shows that the lincar model is not a good fit Residual plot for fower stigma height (mm) versus anther height (mm) regression (for Kobe region) indicates that the lincar model may be a good fit follows random pattern Anther height (mm) Residuals Residuals sjenpisay

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Chapter1: Starting With Matlab
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The image consists of three residual plots, each accompanied by a section to select the appropriate descriptions from an "Answer Bank."

1. **Residual Plot for Parrot Culmen Length (mm) vs. Parrot Wing Length (mm) Regression:**
   - **Graph Details:** The plot shows residuals on the y-axis and parrot wing length (mm) on the x-axis. The residuals are scattered around a red horizontal line near zero, without a clear pattern.
   - **Answer Selections:** 
     - Exhibits constant variance
     - Roughly symmetric about the regression line
     - Indicates that the linear model may be a good fit

2. **Residual Plot for Gadus morhua Fish Weight (g) vs. Length (mm) Regression:**
   - **Graph Details:** The residuals on the y-axis and fish length (mm) on the x-axis show a clear curve, deviating from the red horizontal line.
   - **Answer Selections:** 
     - Follows non-linear pattern
     - Exhibits non-constant variance
     - Shows that the linear model is not a good fit

3. **Residual Plot for Flower Stigma Height (mm) vs. Anther Height (mm) Regression (for Kobe region):**
   - **Graph Details:** The plot presents residuals against anther height (mm). Residuals appear somewhat randomly scattered with some vertical spread around the red line.
   - **Answer Selections:** 
     - Follows random pattern
     - Exhibits non-constant variance
     - As the independent variable changes, the vertical distance of the residuals changes

**Answer Bank Descriptions:**
- Exhibits constant variance
- Follows non-linear pattern
- Exhibits non-constant variance
- Roughly symmetric about the regression line
- As the independent variable changes, the vertical distance of the residuals changes
- Shows that the linear model is not a good fit
- Indicates that the linear model may be a good fit
- Follows random pattern
Transcribed Image Text:The image consists of three residual plots, each accompanied by a section to select the appropriate descriptions from an "Answer Bank." 1. **Residual Plot for Parrot Culmen Length (mm) vs. Parrot Wing Length (mm) Regression:** - **Graph Details:** The plot shows residuals on the y-axis and parrot wing length (mm) on the x-axis. The residuals are scattered around a red horizontal line near zero, without a clear pattern. - **Answer Selections:** - Exhibits constant variance - Roughly symmetric about the regression line - Indicates that the linear model may be a good fit 2. **Residual Plot for Gadus morhua Fish Weight (g) vs. Length (mm) Regression:** - **Graph Details:** The residuals on the y-axis and fish length (mm) on the x-axis show a clear curve, deviating from the red horizontal line. - **Answer Selections:** - Follows non-linear pattern - Exhibits non-constant variance - Shows that the linear model is not a good fit 3. **Residual Plot for Flower Stigma Height (mm) vs. Anther Height (mm) Regression (for Kobe region):** - **Graph Details:** The plot presents residuals against anther height (mm). Residuals appear somewhat randomly scattered with some vertical spread around the red line. - **Answer Selections:** - Follows random pattern - Exhibits non-constant variance - As the independent variable changes, the vertical distance of the residuals changes **Answer Bank Descriptions:** - Exhibits constant variance - Follows non-linear pattern - Exhibits non-constant variance - Roughly symmetric about the regression line - As the independent variable changes, the vertical distance of the residuals changes - Shows that the linear model is not a good fit - Indicates that the linear model may be a good fit - Follows random pattern
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