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Match each scatterplot shown below with one of the four specified correlations. O O 00 %%0 O 08 Ⓡ 0% 0 88 000 O 08 OO O O O 808 O O O O Ⓡ O 0 O Ⓡ O O O a. 0.00 b. -0.78 c. 0.83 d. -0.03

Match each scatterplot shown below with one of the four specified correlations. O O 00 %%0 O 08 Ⓡ 0% 0 88 000 O 08 OO O O O 808 O O O O Ⓡ O 0 O Ⓡ O O O a. 0.00 b. -0.78 c. 0.83 d. -0.03

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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### Scatterplot Correlation Activity **Instruction:** Match the scatterplot shown with one of the four specified correlation coefficients. **Correlation Coefficients:** - a. 0.00 - b. -0.78 - c. 0.83 - d. -0.03 **Scatterplot Analysis:** The image displays a scatterplot of yellow data points on a coordinate grid. Each point represents a data pair. To determine the correlation, observe the pattern of data points. A strong positive correlation (c. 0.83) will show an upward trend, and a strong negative correlation (b. -0.78) will show a downward trend. No clear pattern or a random distribution of points suggests a correlation around zero (a. 0.00 or d. -0.03). **Challenge:** Use your understanding of correlation to identify which coefficient corresponds with the visual pattern in this scatterplot.
Transcribed Image Text:### Scatterplot Correlation Activity **Instruction:** Match the scatterplot shown with one of the four specified correlation coefficients. **Correlation Coefficients:** - a. 0.00 - b. -0.78 - c. 0.83 - d. -0.03 **Scatterplot Analysis:** The image displays a scatterplot of yellow data points on a coordinate grid. Each point represents a data pair. To determine the correlation, observe the pattern of data points. A strong positive correlation (c. 0.83) will show an upward trend, and a strong negative correlation (b. -0.78) will show a downward trend. No clear pattern or a random distribution of points suggests a correlation around zero (a. 0.00 or d. -0.03). **Challenge:** Use your understanding of correlation to identify which coefficient corresponds with the visual pattern in this scatterplot.
This image depicts a scatter plot displayed on a grid with yellow data points distributed across the Cartesian coordinate plane. ### Explanation of the Scatter Plot: - **Axes:** The graph has horizontal and vertical axes, both of which are labeled with directional dropdown arrows, suggesting that the variables can be adjusted or changed. - **Data Points:** Yellow dots are scattered across the plane, creating a pattern that vaguely resembles a non-linear distribution. The points appear to be evenly dispersed along the vertical axis, while horizontally, there is a slight clustering toward the center with fewer points towards the edges. - **Center of the Plot:** There is a noticeable concentration of data points around the origin, indicating a potential central tendency or higher frequency of values in this region. - **Outliers or Spread:** The scatter plot does not show significant outliers, but there is a relatively even spread of data points along the vertical axis, suggesting variability in the data. Overall, this scatter plot could be used to analyze the relationship between two variables, with potential for identifying trends, correlations, or clustering in the data set.
Transcribed Image Text:This image depicts a scatter plot displayed on a grid with yellow data points distributed across the Cartesian coordinate plane. ### Explanation of the Scatter Plot: - **Axes:** The graph has horizontal and vertical axes, both of which are labeled with directional dropdown arrows, suggesting that the variables can be adjusted or changed. - **Data Points:** Yellow dots are scattered across the plane, creating a pattern that vaguely resembles a non-linear distribution. The points appear to be evenly dispersed along the vertical axis, while horizontally, there is a slight clustering toward the center with fewer points towards the edges. - **Center of the Plot:** There is a noticeable concentration of data points around the origin, indicating a potential central tendency or higher frequency of values in this region. - **Outliers or Spread:** The scatter plot does not show significant outliers, but there is a relatively even spread of data points along the vertical axis, suggesting variability in the data. Overall, this scatter plot could be used to analyze the relationship between two variables, with potential for identifying trends, correlations, or clustering in the data set.
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