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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOMMEL Henning | 75 |
| 2 | JANORSCHKE Grischa | 78 |
| 3 | MALORI Adriano | 68 |
| 4 | CIOLEK Gerald | 75 |
| 5 | IMPEY Daryl | 72 |
| 6 | RASMUSSEN Alex | 88 |
| 7 | CIMOLAI Davide | 70 |
| 8 | SWIFT Ben | 69 |
| 9 | THOMAS Geraint | 71 |
| 10 | RIBLON Christophe | 65 |
| 11 | LOBATO Juan José | 64 |
| 12 | BOUET Maxime | 67 |
| 13 | ULISSI Diego | 63 |
| 14 | ARNDT Nikias | 77.5 |
| 16 | WYSS Marcel | 63 |
| 17 | BARDET Romain | 65 |
| 18 | REIMER Martin | 69 |
| 19 | MEGÍAS Javier | 63 |