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 = 2.6 * weight + 580
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDERAERDEN Eric | 74 |
| 3 | SEIGNEUR Eddy | 71 |
| 7 | DE CLERCQ Mario | 66 |
| 990 | CHANTEUR Pascal | 62 |
| 990 | VOSKAMP Bart | 75 |
| 990 | VIDAL José Ángel | 71 |
| 990 | MONCASSIN Frédéric | 73 |
| 990 | DEKKER Erik | 66 |
| 990 | DURAND Jacky | 76 |
| 990 | BOURGUIGNON Thierry | 72 |
| 990 | LEYSEN Bart | 75 |
| 990 | VERSTREPEN Johan | 66 |
| 990 | ROUS Didier | 70 |