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Match each scatterplot shown below with one of the four specified correlations. O a. -0.89 b. -0.12 c. 0.55 d. 0.98

Match each scatterplot shown below with one of the four specified correlations. O a. -0.89 b. -0.12 c. 0.55 d. 0.98

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
Problem 1P
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## Understanding Scatterplots and Correlations ### Description In this interactive activity, you are given multiple scatterplots along with a list of possible correlation coefficients. Your task is to match each scatterplot with its corresponding correlation value. ### Scatterplots and Possible Correlations The scatterplots are displayed vertically in a column, each with yellow data points plotted against the x and y axes. There are four specified correlations for you to choose from: a. -0.89 b. -0.12 c. 0.55 d. 0.98 ### Instructions 1. Observe each scatterplot carefully to understand the direction, form, and strength of the relationship between the two variables. 2. Use the dropdown menu to match each scatterplot with one of the given correlation coefficients. ### Explanation of Correlations - **Negative Correlation (-0.89)**: A strong negative linear relationship where, as one variable increases, the other variable tends to decrease. - **Very Weak Negative Correlation (-0.12)**: A very weak negative linear relationship where the variables have little to no linear relationship. - **Moderate Positive Correlation (0.55)**: A moderate positive linear relationship where, as one variable increases, the other variable tends to increase. - **Strong Positive Correlation (0.98)**: A very strong positive linear relationship where, as one variable increases, the other variable increases almost proportionally. ### Learning Outcome By completing this exercise, you will learn to visually estimate the strength and direction of correlations by looking at scatterplots. This skill is essential for understanding data patterns and relationships in various fields. Use the dropdown menus to select the correlation coefficient that you think matches each scatterplot. This will help you practice and enhance your ability to interpret scatterplots and understand statistical correlations.
Transcribed Image Text:## Understanding Scatterplots and Correlations ### Description In this interactive activity, you are given multiple scatterplots along with a list of possible correlation coefficients. Your task is to match each scatterplot with its corresponding correlation value. ### Scatterplots and Possible Correlations The scatterplots are displayed vertically in a column, each with yellow data points plotted against the x and y axes. There are four specified correlations for you to choose from: a. -0.89 b. -0.12 c. 0.55 d. 0.98 ### Instructions 1. Observe each scatterplot carefully to understand the direction, form, and strength of the relationship between the two variables. 2. Use the dropdown menu to match each scatterplot with one of the given correlation coefficients. ### Explanation of Correlations - **Negative Correlation (-0.89)**: A strong negative linear relationship where, as one variable increases, the other variable tends to decrease. - **Very Weak Negative Correlation (-0.12)**: A very weak negative linear relationship where the variables have little to no linear relationship. - **Moderate Positive Correlation (0.55)**: A moderate positive linear relationship where, as one variable increases, the other variable tends to increase. - **Strong Positive Correlation (0.98)**: A very strong positive linear relationship where, as one variable increases, the other variable increases almost proportionally. ### Learning Outcome By completing this exercise, you will learn to visually estimate the strength and direction of correlations by looking at scatterplots. This skill is essential for understanding data patterns and relationships in various fields. Use the dropdown menus to select the correlation coefficient that you think matches each scatterplot. This will help you practice and enhance your ability to interpret scatterplots and understand statistical correlations.
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