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 = -0.4 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BIESEK Szymon | 66 |
| 2 | KOCHETKOV Pavel | 70 |
| 3 | DE BAAT Arjen | 66 |
| 6 | WYSS Marcel | 63 |
| 7 | GRUZDEV Dmitriy | 78 |
| 14 | RAIMBEKOV Bolat | 66 |
| 21 | MARTIN Dan | 59 |
| 23 | ROUX Anthony | 73 |
| 25 | ROLLAND Pierre | 70 |
| 27 | KADRI Blel | 66 |
| 28 | JANSE VAN RENSBURG Jacques | 63 |
| 30 | KIREYEV Roman | 66 |