Match these values of r with the accompanying scatterplots: 0.395, -0.995, - 1, -0.78, and 0.78. W Click the icon to view the scatterplots. - X Scatterplots Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplot 1 Scatterplot 2 Scat Scatterplot 2, r= 0- Scatterplot 3, r= Scatterplot 4, r= 54 Scatterplot 5, r= 24 -8- 0 020406 08 002 04 06 08 O 02 04 Scatterplot 4 Scatterplot 5 4- 24 02 04 06 08 O02 04 06 08

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**Scatterplot Correlation Matching Activity**

In this educational exercise, you are tasked with matching correlation values, denoted as "r", to their corresponding scatterplots. The available correlation values are: 0.395, -0.995, 1, -0.78, and 0.78.

**Instructions:**

- Examine each scatterplot and determine the correlation value that best fits the pattern of data points.
- Use the dropdown menus next to "Scatterplot 1" through "Scatterplot 5" to select the appropriate correlation value "r".

**Scatterplot Details:**

1. **Scatterplot 1:**
   - Displays a tight line of data points going upwards, indicating a strong positive linear relationship.
   
2. **Scatterplot 2:**
   - Features data points closely aligned in an upward linear pattern, suggesting a perfect positive correlation.
   
3. **Scatterplot 3:**
   - Contains a line of data points descending from left to right, showing a strong negative correlation nearing perfect alignment.
   
4. **Scatterplot 4:**
   - Shows scattered data points with no apparent trend or clear line, suggesting weak correlation.
   
5. **Scatterplot 5:**
   - Depicts data points aligned in a noticeable pattern but with less precision, indicating a moderate positive correlation.

Your goal is to accurately match each scatterplot with its correlation coefficient based on the visual distribution of the points.
Transcribed Image Text:**Scatterplot Correlation Matching Activity** In this educational exercise, you are tasked with matching correlation values, denoted as "r", to their corresponding scatterplots. The available correlation values are: 0.395, -0.995, 1, -0.78, and 0.78. **Instructions:** - Examine each scatterplot and determine the correlation value that best fits the pattern of data points. - Use the dropdown menus next to "Scatterplot 1" through "Scatterplot 5" to select the appropriate correlation value "r". **Scatterplot Details:** 1. **Scatterplot 1:** - Displays a tight line of data points going upwards, indicating a strong positive linear relationship. 2. **Scatterplot 2:** - Features data points closely aligned in an upward linear pattern, suggesting a perfect positive correlation. 3. **Scatterplot 3:** - Contains a line of data points descending from left to right, showing a strong negative correlation nearing perfect alignment. 4. **Scatterplot 4:** - Shows scattered data points with no apparent trend or clear line, suggesting weak correlation. 5. **Scatterplot 5:** - Depicts data points aligned in a noticeable pattern but with less precision, indicating a moderate positive correlation. Your goal is to accurately match each scatterplot with its correlation coefficient based on the visual distribution of the points.
**Scatterplot Correlation Activity**

In this exercise, you are tasked with matching correlation values to their corresponding scatterplots. The given values of \( r \) (correlation coefficients) are as follows: 0.395, -0.995, -1, -0.78, and 0.78.

### Instructions:

1. **View the Scatterplots:**
   - On the right side of the screen, several scatterplots are displayed, each depicting a set of data points.
   - Scatterplots are numbered for easy reference: Scatterplot 2, Scatterplot 3, and Scatterplot 5.

2. **Analyze the Scatterplots:**
   - **Scatterplot 2:** Displays a moderate amount of spread among the data points; check for any patterns that suggest positive or negative correlation.
   - **Scatterplot 3:** Shows a clearer linear arrangement of points, indicating a stronger correlation.
   - **Scatterplot 5:** Exhibits a more scattered and random distribution of points, suggesting lesser correlation.

3. **Match Correlation Values to Scatterplots:**
   - Use the dropdown options to assign the correct correlation coefficient (\( r \)) to each scatterplot based on its visual representation.

### Objective:

Identify the linear relationship between the variables in each scatterplot by accurately matching the correlation coefficient. Consider the direction and strength of the relationship when evaluating each plot. A correlation of \( -1 \) or \( 1 \) indicates a perfect linear relationship, while values closer to 0 suggest weaker correlation.

Expand each scatterplot for a detailed view to assist in your analysis, and compare patterns to theoretical expectations of how each correlation value should appear graphically.
Transcribed Image Text:**Scatterplot Correlation Activity** In this exercise, you are tasked with matching correlation values to their corresponding scatterplots. The given values of \( r \) (correlation coefficients) are as follows: 0.395, -0.995, -1, -0.78, and 0.78. ### Instructions: 1. **View the Scatterplots:** - On the right side of the screen, several scatterplots are displayed, each depicting a set of data points. - Scatterplots are numbered for easy reference: Scatterplot 2, Scatterplot 3, and Scatterplot 5. 2. **Analyze the Scatterplots:** - **Scatterplot 2:** Displays a moderate amount of spread among the data points; check for any patterns that suggest positive or negative correlation. - **Scatterplot 3:** Shows a clearer linear arrangement of points, indicating a stronger correlation. - **Scatterplot 5:** Exhibits a more scattered and random distribution of points, suggesting lesser correlation. 3. **Match Correlation Values to Scatterplots:** - Use the dropdown options to assign the correct correlation coefficient (\( r \)) to each scatterplot based on its visual representation. ### Objective: Identify the linear relationship between the variables in each scatterplot by accurately matching the correlation coefficient. Consider the direction and strength of the relationship when evaluating each plot. A correlation of \( -1 \) or \( 1 \) indicates a perfect linear relationship, while values closer to 0 suggest weaker correlation. Expand each scatterplot for a detailed view to assist in your analysis, and compare patterns to theoretical expectations of how each correlation value should appear graphically.
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