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 + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUS Kai | 70 |
| 2 | BOOM Lars | 75 |
| 3 | TERPSTRA Niki | 75 |
| 4 | VAN EMDEN Jos | 78 |
| 5 | STAMSNIJDER Tom | 76 |
| 6 | DUIJN Huub | 73 |
| 11 | OOSTLANDER Sander | 78 |
| 12 | KRUIJSWIJK Steven | 63 |
| 14 | HUIZENGA Jenning | 72 |
| 15 | BELLEMAKERS Dirk | 75 |
| 28 | MOLLEMA Bauke | 64 |