Match these values of r with the accompanying scatterplots: 1, -0.996, - 0.743, 0.996, and 0.358. W Click the icon to view the scatterplots. i Scatterplots Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplot 2, r= Scatterplot 1 Scatterplot 2 Scatterplot 3 Scatterplot 3, r= Q 157 8- Scatterplot 4, r= 14- -2- 6- Scatterplot 5, r= 13- 4- 4- 12- -6- 11- 2- 1 -8- 10 Ó 0.2 0.4 0.6 0.8 i 0- + 0.2 0.4 0.6 0.8 0.2 0.4 0.6 0.8 1 - 0.743 0.996 Scatterplot 4 Scatterplot 5 - 0.996 Q 8- 8- 0.358 6- 6- > 4- 4- 2- 2- 0- 0.2 0.4 0.6 0.8 1 0- 0.2 0.4 0.6 0.8 1 中 中9

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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On this educational website, we explore the relationship between variables using scatterplots. The objective is to match given correlation coefficients, denoted as \( r \), with their corresponding scatterplots. The provided correlation coefficients are: 1, −0.996, −0.743, 0.996, and 0.358.

### Instructions:
- Review the accompanying scatterplots displayed.
- Utilize the dropdown menus to match each scatterplot with its corresponding \( r \) value. Available values include: 1, −0.743, 0.996, −0.996, and 0.358.

### Scatterplots:
- **Scatterplot 1**: Presents a pattern where the \( y \) values increase linearly as \( x \) increases.
- **Scatterplot 2**: Displays a set of points with \( y \)-values rising gradually with \( x \).
- **Scatterplot 3**: Shows a pattern where \( y \) values decrease in a linear fashion as \( x \) increases.
- **Scatterplot 4**: Demonstrates a dispersed configuration without a clear linear trend.
- **Scatterplot 5**: Exhibits a cluster where \( y \) values appear to broadly increase with \( x \), though not perfectly linear.

### Analysis of Scatterplots:
1. **Scatterplot 1**:
   - Clear, strong positive linear correlation.
   - Likely matching \( r = 0.996 \).

2. **Scatterplot 2**:
   - Good overall positive correlation.
   - Potential match for \( r = 0.358 \).

3. **Scatterplot 3**:
   - Strong negative linear correlation.
   - Best relates to \( r = −0.996 \).

4. **Scatterplot 4**:
   - Displays no apparent trend, close to no correlation.
   - Perfect for \( r = 0.358 \).

5. **Scatterplot 5**:
   - Moderate to high positive linear correlation.
   - Corresponds to \( r = 1 \).

### Instructions for Interaction:
- Use the provided dropdown menus to select the \( r \) value for each scatterplot.
- Confirm your selections to verify correctness.

This exercise aims to enhance understanding of how correlation coefficients describe the strength and direction of linear relationships between two variables, using visual representation for clarity.
Transcribed Image Text:On this educational website, we explore the relationship between variables using scatterplots. The objective is to match given correlation coefficients, denoted as \( r \), with their corresponding scatterplots. The provided correlation coefficients are: 1, −0.996, −0.743, 0.996, and 0.358. ### Instructions: - Review the accompanying scatterplots displayed. - Utilize the dropdown menus to match each scatterplot with its corresponding \( r \) value. Available values include: 1, −0.743, 0.996, −0.996, and 0.358. ### Scatterplots: - **Scatterplot 1**: Presents a pattern where the \( y \) values increase linearly as \( x \) increases. - **Scatterplot 2**: Displays a set of points with \( y \)-values rising gradually with \( x \). - **Scatterplot 3**: Shows a pattern where \( y \) values decrease in a linear fashion as \( x \) increases. - **Scatterplot 4**: Demonstrates a dispersed configuration without a clear linear trend. - **Scatterplot 5**: Exhibits a cluster where \( y \) values appear to broadly increase with \( x \), though not perfectly linear. ### Analysis of Scatterplots: 1. **Scatterplot 1**: - Clear, strong positive linear correlation. - Likely matching \( r = 0.996 \). 2. **Scatterplot 2**: - Good overall positive correlation. - Potential match for \( r = 0.358 \). 3. **Scatterplot 3**: - Strong negative linear correlation. - Best relates to \( r = −0.996 \). 4. **Scatterplot 4**: - Displays no apparent trend, close to no correlation. - Perfect for \( r = 0.358 \). 5. **Scatterplot 5**: - Moderate to high positive linear correlation. - Corresponds to \( r = 1 \). ### Instructions for Interaction: - Use the provided dropdown menus to select the \( r \) value for each scatterplot. - Confirm your selections to verify correctness. This exercise aims to enhance understanding of how correlation coefficients describe the strength and direction of linear relationships between two variables, using visual representation for clarity.
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