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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNTER Robert | 72 |
| 2 | CARLSTRÖM Kjell | 70 |
| 3 | HORRILLO Pedro | 76 |
| 5 | JÉGOU Lilian | 71 |
| 6 | KRAUß Sven | 81 |
| 7 | JURČO Matej | 69 |
| 8 | FAILLI Francesco | 65 |
| 9 | AUGER Ludovic | 78 |
| 10 | VAN IMPE Kevin | 75 |
| 13 | DI LUCA Danilo | 61 |