The table shows the number of goals allowed and the total points earned (2 points for a win, and 1 point for an overtime or shootout loss) by 14 ice hockey teams over the course of a season. The equation of the regression line is y=-0.615x+228.937. Use the data to answer the following questions. (a) Find the coefficient of determination, r2, and interpret the result. (b) Find the standard error of the estimate, se, and interpret the result. Goals Allowed, Points, y 213 205 217 226 252 257 277 197 217 198 220 205 255 245 110 102 100 96 89 76 45 106 101 101 97 85 73 66

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### Regression Analysis of Ice Hockey Team Performance

The table below displays the data for the number of goals allowed and the corresponding total points earned by 14 ice hockey teams over the course of a season. Points are calculated with 2 points for a win and 1 point for an overtime or shootout loss. The regression equation provided for this dataset is \( \hat{y} = -0.615x + 228.937 \).

#### Data Table:
| Goals Allowed, \( x \) | 213 | 205 | 217 | 226 | 252 | 257 | 277 | 197 | 217 | 198 | 220 | 205 | 255 | 245 |
|------------------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| Points, \( y \)        | 110 | 102 | 100 |  96 |  89 |  76 |  45 | 106 | 101 | 101 |  97 |  85 |  73 |  66 |

#### Tasks:
(a) Find the coefficient of determination, \( r^2 \), and interpret the result.
(b) Find the standard error of the estimate, \( s_e \), and interpret the result.

##### Explanation:
**(a) Coefficient of Determination, \( r^2 \):**

\[ r^2 = \_\_\_ \]
(Round to three decimal places as needed.)

**(b) Standard Error of the Estimate, \( s_e \):**

\[
s_e = \_\_\_
\]

The coefficient of determination \( r^2 \) indicates how well the regression line approximates the real data points. It measures the proportion of the variance in the dependent variable (points, \( y \)) that is predictable from the independent variable (goals allowed, \( x \)). The standard error of the estimate \( s_e \) represents the average distance that the observed values fall from the regression line. Both these metrics provide insight into the accuracy and reliability of the regression model used for predictive purposes.
Transcribed Image Text:### Regression Analysis of Ice Hockey Team Performance The table below displays the data for the number of goals allowed and the corresponding total points earned by 14 ice hockey teams over the course of a season. Points are calculated with 2 points for a win and 1 point for an overtime or shootout loss. The regression equation provided for this dataset is \( \hat{y} = -0.615x + 228.937 \). #### Data Table: | Goals Allowed, \( x \) | 213 | 205 | 217 | 226 | 252 | 257 | 277 | 197 | 217 | 198 | 220 | 205 | 255 | 245 | |------------------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----| | Points, \( y \) | 110 | 102 | 100 | 96 | 89 | 76 | 45 | 106 | 101 | 101 | 97 | 85 | 73 | 66 | #### Tasks: (a) Find the coefficient of determination, \( r^2 \), and interpret the result. (b) Find the standard error of the estimate, \( s_e \), and interpret the result. ##### Explanation: **(a) Coefficient of Determination, \( r^2 \):** \[ r^2 = \_\_\_ \] (Round to three decimal places as needed.) **(b) Standard Error of the Estimate, \( s_e \):** \[ s_e = \_\_\_ \] The coefficient of determination \( r^2 \) indicates how well the regression line approximates the real data points. It measures the proportion of the variance in the dependent variable (points, \( y \)) that is predictable from the independent variable (goals allowed, \( x \)). The standard error of the estimate \( s_e \) represents the average distance that the observed values fall from the regression line. Both these metrics provide insight into the accuracy and reliability of the regression model used for predictive purposes.
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