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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MENCHOV Denis | 65 |
| 2 | CAVENDISH Mark | 70 |
| 3 | ROGERS Michael | 74 |
| 4 | DUQUE Leonardo Fabio | 59 |
| 5 | SÁNCHEZ Samuel | 65 |
| 6 | KARPETS Vladimir | 79 |
| 7 | VINOKOUROV Alexandre | 68 |
| 8 | SEVILLA Óscar | 62 |
| 9 | MOREAU Christophe | 71 |
| 10 | CARRARA Matteo | 67 |
| 11 | DE LA FUENTE David | 67 |
| 12 | EISEL Bernhard | 74 |
| 13 | GADRET John | 58 |
| 14 | BONNET William | 80 |
| 15 | DI GRÉGORIO Rémy | 67 |