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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEFRAEYE Odiel | 67 |
| 2 | VAN DEN BERGHE René | 65 |
| 3 | BLAISE André | 72 |
| 4 | LAMBOT Firmin | 69 |
| 5 | DEVROYE Henri | 62 |
| 6 | PÉLISSIER Henri | 72 |
| 7 | CHRISTOPHE Eugène | 67 |
| 9 | ALAVOINE Jean | 73 |
| 10 | EVERAERTS Pierre | 66 |
| 11 | LAMON Robert | 57 |
| 12 | DUPONT Albert | 68 |
| 13 | PETITJEAN Louis | 66 |
| 16 | VAN DE VELDE Pierre | 69 |
| 17 | HEUSGHEM Hector | 86 |
| 20 | VAN LERBERGHE Henri | 79 |