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 = -1.1 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMON François | 70 |
| 2 | VOSKAMP Bart | 75 |
| 3 | VAN BON Léon | 72 |
| 7 | BERZIN Evgeni | 64 |
| 8 | ROUS Didier | 70 |
| 11 | BROCHARD Laurent | 68 |
| 12 | STENERSEN Karsten | 70 |
| 13 | ARMSTRONG Lance | 72 |
| 20 | RODRIGUES Orlando Sergio | 68 |
| 21 | BOOGERD Michael | 62 |
| 22 | HAMBURGER Bo | 58 |