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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEGENKOLB John | 82 |
| 2 | ŠTYBAR Zdeněk | 68 |
| 3 | NAPOLITANO Danilo | 81 |
| 4 | VOECKLER Thomas | 71 |
| 5 | BOUHANNI Nacer | 65 |
| 6 | ENGOULVENT Jimmy | 82 |
| 7 | PINEAU Jérôme | 65 |
| 8 | BETANCUR Carlos | 60 |
| 9 | FÉDRIGO Pierrick | 66 |
| 10 | PELUCCHI Matteo | 74 |