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 = 0.9 * weight - 49
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÄR Michael | 66 |
| 2 | LODEWYCK Klaas | 70 |
| 3 | BAUGNIES Jérôme | 69 |
| 4 | PLANCKAERT Baptiste | 65 |
| 7 | VINTHER Troels Rønning | 68 |
| 12 | GAUTIER Cyril | 65 |
| 14 | GHYSELINCK Jan | 74 |
| 16 | STAUFF Andreas | 82 |
| 17 | NOLF Frederiek | 68 |
| 20 | VANSPEYBROUCK Pieter | 76 |
| 21 | MALACARNE Davide | 63 |
| 22 | PAGANI Angelo | 68 |
| 33 | STANNARD Ian | 83 |
| 38 | BURKE Steven | 78 |
| 40 | KLOSTERGAARD Kasper | 69 |