Data from the United Nations on individual countries Obesity rates and vegetable consumption by country were organized into the scatter plot below. Linear Regression Equation for this data: y = -0.8449x + 50.328 Correlation Coefficient: 0.5 --- How would you describe the type of correlation of this data? Question 9 options: Not Correlated Positively Correlated Negatively Correlate
Data from the United Nations on individual countries Obesity rates and vegetable consumption by country were organized into the scatter plot below. Linear Regression Equation for this data: y = -0.8449x + 50.328 Correlation Coefficient: 0.5 --- How would you describe the type of correlation of this data? Question 9 options: Not Correlated Positively Correlated Negatively Correlate
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Data from the United Nations on individual countries Obesity rates and vegetable consumption by country were organized into the
Linear Regression Equation for this data: y = -0.8449x + 50.328
---
How would you describe the type of correlation of this data?
Question 9 options:
|
Not Correlated |
|
Positively Correlated |
|
Negatively Correlated |

Transcribed Image Text:The image features a scatter plot graph depicting the relationship between the "Average consumption of vegetable products in kg" (x-axis) and "Percent Obese" (y-axis). Each blue dot represents data points collected in a study.
**Graph Details:**
- **X-axis:** Ranges from 20 to 50 kg, representing the average consumption of vegetable products.
- **Y-axis:** Ranges from 0 to 50 percent, indicating the percentage of obesity.
- **Trend Line:** A dotted line sloped downwards, suggesting a negative correlation. The equation of the line is \( y = -0.8449x + 50.328 \).
**Key Information:**
- **Correlation Coefficient:** 0.5, indicating a moderate negative correlation between vegetable consumption and obesity rates. As vegetable consumption increases, obesity rates tend to decrease.
Expert Solution

Step 1
From the above graph and regression line
Linear Regression Equation for this data: y = -0.8449x + 50.328
So the Correlation Coefficient=r=-0.5
Step by step
Solved in 2 steps
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