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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLIAMS Stephen | 59 |
| 2 | MAZZUCCO Fabio | 69 |
| 3 | PARET-PEINTRE Aurélien | 64 |
| 4 | GAILLARD Marlon | 64 |
| 5 | ANTUNES Tiago | 55 |
| 7 | MÄDER Gino | 61 |
| 8 | LEKNESSUND Andreas | 72 |
| 9 | HECHT Gage | 72 |
| 10 | MERTENS Julian | 67 |
| 11 | GOOSSENS Kobe | 64 |
| 12 | CHAMPOUSSIN Clément | 61 |
| 13 | LOUVEL Matis | 77 |
| 16 | MAAS Jan | 70 |
| 17 | ALMEIDA João | 63 |
| 18 | DEBONS Antoine | 65 |
| 22 | ARNOULT Floryan | 60 |