Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = – 95.95z + 84.53 and the r = - 0.664. %3D What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = – 95.95z + 84.53 and the r = - 0.664. %3D What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.
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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![The text presented discusses the use of a statistics software package to generate a scatter plot with a regression equation and a correlation coefficient. The details are as follows:
---
**Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as:**
\[ y = -95.95x + 84.53 \]
**and the \( r = -0.664 \).**
**What proportion of the variation in \( y \) can be explained by the variation in the values of \( x \)?**
\[ r^2 = \]
*Report answer as a percentage accurate to one decimal place.*
**Submit Question**
---
**Explanation:**
1. **Regression Equation**: The equation is given as \( y = -95.95x + 84.53 \). This describes the relationship between the dependent variable \( y \) and the independent variable \( x \).
2. **Correlation Coefficient**: The correlation coefficient \( r \) is given as \(-0.664\). This value indicates the strength and direction of a linear relationship between two variables.
3. **Proportion of Variation (R-squared)**: To find the proportion of variation in \( y \) explained by \( x \), the square of the correlation coefficient should be calculated: \( r^2 \).
4. **Interpretation**: The result of \( r^2 \) will represent the percentage of the variation in the dependent variable \( y \) that can be explained by the variation in the independent variable \( x \). The question requests the answer as a percentage accurate to one decimal place.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1a159ae1-e0ed-478f-bdd2-ec587d281408%2F1b12a997-8f05-4bc8-be55-4888e8484f37%2Focxobyy_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The text presented discusses the use of a statistics software package to generate a scatter plot with a regression equation and a correlation coefficient. The details are as follows:
---
**Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as:**
\[ y = -95.95x + 84.53 \]
**and the \( r = -0.664 \).**
**What proportion of the variation in \( y \) can be explained by the variation in the values of \( x \)?**
\[ r^2 = \]
*Report answer as a percentage accurate to one decimal place.*
**Submit Question**
---
**Explanation:**
1. **Regression Equation**: The equation is given as \( y = -95.95x + 84.53 \). This describes the relationship between the dependent variable \( y \) and the independent variable \( x \).
2. **Correlation Coefficient**: The correlation coefficient \( r \) is given as \(-0.664\). This value indicates the strength and direction of a linear relationship between two variables.
3. **Proportion of Variation (R-squared)**: To find the proportion of variation in \( y \) explained by \( x \), the square of the correlation coefficient should be calculated: \( r^2 \).
4. **Interpretation**: The result of \( r^2 \) will represent the percentage of the variation in the dependent variable \( y \) that can be explained by the variation in the independent variable \( x \). The question requests the answer as a percentage accurate to one decimal place.
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