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 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNAVEN Servais | 68 |
| 2 | VAN BON Léon | 72 |
| 3 | LEYSEN Bart | 75 |
| 4 | SILOVS Juris | 79 |
| 7 | EKIMOV Viatcheslav | 69 |
| 8 | VAN DE WOUWER Kurt | 66 |
| 9 | AGNOLUTTO Christophe | 69 |
| 10 | PIERI Dario | 78 |
| 11 | MATTAN Nico | 69 |
| 12 | CASAGRANDE Filippo | 63 |
| 13 | VAN HEESWIJK Max | 73 |
| 14 | VIERHOUTEN Aart | 71 |
| 18 | VINOKOUROV Alexandre | 68 |
| 19 | ALDAG Rolf | 75 |
| 20 | HAMMOND Roger | 71 |
| 22 | DE NEEF Steven | 75 |