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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WESTRA Lieuwe | 74 |
| 2 | TERPSTRA Niki | 75 |
| 3 | DUMOULIN Tom | 69 |
| 4 | BOOM Lars | 75 |
| 5 | CLEMENT Stef | 66 |
| 6 | KONING Peter | 77 |
| 7 | KEIZER Martijn | 72 |
| 8 | BEUKEBOOM Dion | 88 |
| 9 | KELDERMAN Wilco | 65 |
| 10 | MOURIS Jens | 91 |
| 11 | FLENS Rick | 82 |
| 12 | GOOS Marc | 65 |
| 13 | DE VRIES Berden | 70 |
| 16 | GMELICH MEIJLING Jarno | 77 |
| 18 | VAN EMDEN Jos | 78 |
| 19 | VAN LAKERVELD Erik | 85 |