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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANGELLOTTI Victor | 64 |
| 2 | ADRIÀ Roger | 64 |
| 3 | CRADDOCK Lawson | 69 |
| 4 | SOLER Marc | 68 |
| 5 | BOU Joan | 62 |
| 6 | MOLARD Rudy | 62 |
| 7 | ROGLIČ Primož | 65 |
| 8 | VAN DEN BERG Julius | 78 |
| 9 | DRIZNERS Jarrad | 70 |
| 10 | DE GENDT Thomas | 73 |
| 11 | ALAPHILIPPE Julian | 62 |
| 12 | VINE Jay | 69 |
| 13 | MASNADA Fausto | 65 |
| 14 | IMPEY Daryl | 72 |
| 15 | GUERNALEC Thibault | 71 |
| 16 | OKAMIKA Ander | 70 |