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 = -0.3 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | VOSKAMP Bart | 75 |
| 12 | SEIGNEUR Eddy | 71 |
| 14 | VANDERAERDEN Eric | 74 |
| 18 | CHANTEUR Pascal | 62 |
| 19 | BOURGUIGNON Thierry | 72 |
| 21 | DE CLERCQ Mario | 66 |
| 23 | MONCASSIN Frédéric | 73 |
| 26 | DEKKER Erik | 66 |
| 28 | LEYSEN Bart | 75 |
| 31 | VIDAL José Ángel | 71 |
| 34 | DURAND Jacky | 76 |
| 38 | ROUS Didier | 70 |
| 40 | VERSTREPEN Johan | 66 |