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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN ROOY Kenneth | 70 |
| 2 | LONARDI Giovanni | 70 |
| 3 | RÄIM Mihkel | 69 |
| 4 | VERMEERSCH Gianni | 68 |
| 5 | KUMP Marko | 68 |
| 6 | PER David | 81 |
| 7 | BUTS Vitaliy | 68 |
| 8 | TAMINIAUX Lionel | 74 |
| 9 | HALLER Patrick | 68 |
| 10 | ZURLO Federico | 70 |
| 12 | TOWNSEND Rory | 73 |
| 13 | KIERNER Florian | 79 |
| 14 | FORTIN Filippo | 78 |