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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRITSKIY Timofey | 81 |
| 3 | MORTENSEN Martin | 70 |
| 4 | NAIBO Carl | 62 |
| 5 | CUSIN Rémi | 65 |
| 9 | FINOT Frédéric | 65 |
| 12 | VAN VOOREN Steven | 75 |
| 13 | REIHS Michael | 75 |
| 17 | FIRSANOV Sergey | 58 |