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
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Chapter1: Starting With Matlab
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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.
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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