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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PASAMONTES Luis | 72 |
| 3 | GARCÍA QUESADA Carlos | 63 |
| 4 | GOUBERT Stéphane | 62 |
| 5 | MARKOV Alexei | 80 |
| 7 | TORRENT Carlos | 71 |
| 10 | PORTAL Nicolas | 70 |
| 11 | RIBLON Christophe | 65 |
| 14 | ASTARLOZA Mikel | 72 |
| 15 | FERRÍO Jorge | 51 |
| 16 | USOV Alexandre | 63 |
| 17 | SCANLON Mark | 79 |
| 18 | CHAURREAU Íñigo | 60 |
| 22 | MONDORY Lloyd | 66 |
| 23 | DUEÑAS Moisés | 61 |
| 24 | PÉREZ Francisco | 76 |
| 25 | DEGANO Enrico | 68 |