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 = 0.5 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELOHVOŠČIKS Raivis | 70 |
| 2 | MATTAN Nico | 69 |
| 5 | MARICHAL Thierry | 72 |
| 7 | VAN DIJK Stefan | 74 |
| 20 | PRONK Matthé | 73 |
| 22 | AERTS Mario | 68 |
| 26 | VERBRUGGHE Rik | 70 |
| 32 | STAM Danny | 64 |
| 38 | BECKE Daniel | 75 |
| 39 | LEFEVRE David | 66 |
| 42 | D'HOLLANDER Glenn | 74 |
| 43 | VAN DE WOUWER Kurt | 66 |
| 44 | LEYSEN Bart | 75 |
| 48 | BOMANS Carlo | 74 |
| 50 | STEELS Tom | 73 |