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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAIBO Carl | 62 |
| 2 | DI GRÉGORIO Rémy | 67 |
| 3 | VAN HECKE Preben | 69 |
| 4 | MCCARTY Jonathan Patrick | 68 |
| 6 | MINARD Sébastien | 65 |
| 7 | BEPPU Fumiyuki | 69 |
| 8 | ROY Jérémy | 70 |
| 11 | CLEMENT Stef | 66 |
| 12 | HUPOND Thierry | 65 |
| 13 | PATANCHON Fabien | 69 |