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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BITTNER Pavel | 73 |
| 2 | KRUL Wessel | 75 |
| 3 | BARRENETXEA Jon | 74 |
| 4 | KUBIŠ Lukáš | 70 |
| 5 | LAPEIRA Paul | 64 |
| 6 | DE POOTER Dries | 66 |
| 7 | DE JONG Timo | 72 |
| 8 | GAMPER Florian | 86 |
| 10 | GONOV Lev | 76 |
| 11 | SANDER HANSEN Marcus | 68 |
| 12 | MAZZUCCO Fabio | 69 |
| 15 | WÆRENSKJOLD Søren | 92 |