1) Match each of the five scatterplots to the appropriate correlation coefficient and equation of regression line. Explain how you know that you have made a correct match. a. r= 0.83, y=-2.1 + 1.4x d. r=-0.83, y= 11.8 – 1.4x b. r=-0.31, y= 7.8 – 0.5x e. r= 0.41, y = 1.4 + 1.4x c. r= 0.96, y=-2.1 + 1.4x Scatterplot 1 Scatterplot 2 Scatterplot 3 Scatterplot 4 Scatterplot 5

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### Correlation Coefficient and Regression Line Matching

#### Instructions:
Match each of the five scatterplots to the appropriate correlation coefficient and equation of the regression line. Explain how you know that you have made a correct match.

#### Given Correlation Coefficients and Regression Lines:
a. \( r = 0.83 \), \( y = -2.1 + 1.4x \)
b. \( r = -0.31 \), \( y = 7.8 - 0.5x \)
c. \( r = 0.96 \), \( y = -2.1 + 1.4x \)
d. \( r = -0.83 \), \( y = 11.8 - 1.4x \)
e. \( r = 0.41 \), \( y = 1.4 + 1.4x \)

#### Scatterplots:
- **Scatterplot 1**
- **Scatterplot 2**
- **Scatterplot 3**
- **Scatterplot 4**
- **Scatterplot 5**

#### Analysis of Scatterplots:
1. **Scatterplot 1:**
    - This scatterplot shows data points that do not have a perfect linear relationship, but they exhibit a moderate positive correlation.
    - This corresponds to **e. \( r = 0.41 \), \( y = 1.4 + 1.4x \)** as the correlation is positive but not very strong.

2. **Scatterplot 2:**
    - The points in this scatterplot display a clear negative linear relationship with a high degree of correlation.
    - This aligns with **d. \( r = -0.83 \), \( y = 11.8 - 1.4x \)** as it shows a strong negative correlation.

3. **Scatterplot 3:**
    - This scatterplot has data points that indicate a near-perfect positive linear relationship.
    - Therefore, it matches **c. \( r = 0.96 \), \( y = -2.1 + 1.4x \)** which reflects a very strong positive correlation.

4. **Scatterplot 4:**
    - The points exhibit a clear negative linear relationship but the correlation is not very strong.
    - This corresponds to **b. \( r = -0.31 \), \( y = 7.8 - 0.5x
Transcribed Image Text:### Correlation Coefficient and Regression Line Matching #### Instructions: Match each of the five scatterplots to the appropriate correlation coefficient and equation of the regression line. Explain how you know that you have made a correct match. #### Given Correlation Coefficients and Regression Lines: a. \( r = 0.83 \), \( y = -2.1 + 1.4x \) b. \( r = -0.31 \), \( y = 7.8 - 0.5x \) c. \( r = 0.96 \), \( y = -2.1 + 1.4x \) d. \( r = -0.83 \), \( y = 11.8 - 1.4x \) e. \( r = 0.41 \), \( y = 1.4 + 1.4x \) #### Scatterplots: - **Scatterplot 1** - **Scatterplot 2** - **Scatterplot 3** - **Scatterplot 4** - **Scatterplot 5** #### Analysis of Scatterplots: 1. **Scatterplot 1:** - This scatterplot shows data points that do not have a perfect linear relationship, but they exhibit a moderate positive correlation. - This corresponds to **e. \( r = 0.41 \), \( y = 1.4 + 1.4x \)** as the correlation is positive but not very strong. 2. **Scatterplot 2:** - The points in this scatterplot display a clear negative linear relationship with a high degree of correlation. - This aligns with **d. \( r = -0.83 \), \( y = 11.8 - 1.4x \)** as it shows a strong negative correlation. 3. **Scatterplot 3:** - This scatterplot has data points that indicate a near-perfect positive linear relationship. - Therefore, it matches **c. \( r = 0.96 \), \( y = -2.1 + 1.4x \)** which reflects a very strong positive correlation. 4. **Scatterplot 4:** - The points exhibit a clear negative linear relationship but the correlation is not very strong. - This corresponds to **b. \( r = -0.31 \), \( y = 7.8 - 0.5x
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