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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELETTRE Alexandre | 62 |
| 2 | NORDHAGEN Jørgen | 59 |
| 3 | DONNENWIRTH Tom | 63 |
| 8 | SUTTON Louis | 68 |
| 9 | DORN Vinzent | 74 |
| 10 | ROLLAND Brieuc | 59 |
| 12 | SIMMONS Colby | 68 |
| 13 | ROULAND Louis | 55 |
| 15 | JENNER Samuel | 64 |
| 17 | CAPRON Rémi | 59 |