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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLEMENT Stef | 66 |
| 2 | MOURIS Jens | 91 |
| 3 | KEIZER Martijn | 72 |
| 4 | WESTRA Lieuwe | 74 |
| 5 | POSTHUMA Joost | 76 |
| 6 | TERPSTRA Niki | 75 |
| 7 | TJALLINGII Maarten | 81 |
| 8 | VAN WINDEN Dennis | 70 |
| 9 | VAN EMDEN Jos | 78 |
| 11 | OOSTLANDER Sander | 78 |
| 13 | REUS Kai | 70 |
| 14 | WIELINGA Remmert | 68 |
| 15 | STAMSNIJDER Tom | 76 |
| 16 | HUIZENGA Jenning | 72 |
| 25 | VAN LAKERVELD Erik | 85 |
| 27 | VELDT Tim | 78 |