Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BREUKINK Erik | 70 |
| 4 | NIJDAM Jelle | 70 |
| 5 | HOLM SØRENSEN Brian | 77 |
| 9 | YATES Sean | 74 |
| 11 | WALTON Brian | 68 |
| 12 | JASKUŁA Zenon | 76 |
| 13 | MARIE Thierry | 68 |
| 17 | DERNIES Michel | 75 |
| 19 | MUSEEUW Johan | 71 |
| 20 | CHIAPPUCCI Claudio | 67 |