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 + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HODEG Álvaro José | 76 |
| 2 | SÉNÉCHAL Florian | 77 |
| 3 | GILBERT Philippe | 75 |
| 4 | GRUZDEV Dmitriy | 78 |
| 5 | MODOLO Sacha | 67 |
| 6 | HAUSSLER Heinrich | 74 |
| 8 | VAN GINNEKEN Sjoerd | 72 |
| 9 | OLIVEIRA Rui | 66 |
| 10 | SIMION Paolo | 79 |
| 11 | WARLOP Jordi | 71 |
| 12 | BUSATO Matteo | 67 |
| 13 | MARTINELLI Davide | 71 |