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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE PRETTO Davide | 58 |
| 2 | OLIVEIRA Rui | 66 |
| 3 | BEHRENS Niklas | 80 |
| 4 | ULISSI Diego | 63 |
| 5 | MARCELLUSI Martin | 62 |
| 6 | MICHELS Jente | 59 |
| 7 | WAFLER Tim | 78 |
| 9 | WALSCHEID Max | 90 |
| 11 | GROßSCHARTNER Felix | 64 |
| 13 | DREGE André | 78 |
| 14 | GANNA Filippo | 83 |
| 15 | STÜSSI Colin | 68 |
| 16 | RIVERA Brandon Smith | 60 |
| 17 | KAŠPAR Jan | 73 |