NHL Assists and Total Points The number of assists and tota points for a sample of NHL scoring leaders from the NHL are sh Assists x 58 59 68 44 65 67 83 Total points y 73 74 83 59 80 82 98 Send data to Excel The correlation coefficient for the data is r=1 and a= 0.01. Shoul analysis be done? The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. y'= a+bx a =| 0.01 b =| 1 Find y' when x= 50. y' =| 59

MATLAB: An Introduction with Applications
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### NHL Assists and Total Points

The number of assists and total points for a sample of NHL scoring leaders from the NHL are shown below:

| Assists \( x \) | 58  | 59  | 68  | 44  | 65  | 67  | 83  |
|-----------------|-----|-----|-----|-----|-----|-----|-----|
| Total points \( y \) | 73  | 74  | 83  | 59  | 80  | 82  | 98  |

**Option Available:**
- Send data to Excel

### Statistical Analysis

#### The correlation coefficient for the data is \( r = 1 \) and \( \alpha = 0.01 \). Should the regression analysis be done?

- [ ] The regression analysis should not be done.
- [x] The regression analysis should be done.

#### Finding the Equation of the Regression Line:

Given the linear equation:

\[ y' = a + bx \]

where,

\[ a = 0.01 \]
\[ b = 1 \]

##### Example Calculation:

To find \( y' \) when \( x = 50 \):

\[ y' = 0.01 + 1(50) = 59 \]
Transcribed Image Text:### NHL Assists and Total Points The number of assists and total points for a sample of NHL scoring leaders from the NHL are shown below: | Assists \( x \) | 58 | 59 | 68 | 44 | 65 | 67 | 83 | |-----------------|-----|-----|-----|-----|-----|-----|-----| | Total points \( y \) | 73 | 74 | 83 | 59 | 80 | 82 | 98 | **Option Available:** - Send data to Excel ### Statistical Analysis #### The correlation coefficient for the data is \( r = 1 \) and \( \alpha = 0.01 \). Should the regression analysis be done? - [ ] The regression analysis should not be done. - [x] The regression analysis should be done. #### Finding the Equation of the Regression Line: Given the linear equation: \[ y' = a + bx \] where, \[ a = 0.01 \] \[ b = 1 \] ##### Example Calculation: To find \( y' \) when \( x = 50 \): \[ y' = 0.01 + 1(50) = 59 \]
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