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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIGNEUR Eddy | 71 |
| 2 | MONCOUTIÉ David | 69 |
| 3 | LEFÈVRE Laurent | 67 |
| 4 | FINOT Frédéric | 65 |
| 5 | MORIN Anthony | 79 |
| 6 | EDALEINE Christophe | 62 |
| 7 | TALABARDON Sébastien | 67 |
| 9 | CASAR Sandy | 63 |
| 11 | LANGELLA Anthony | 76 |
| 12 | AUGER Guillaume | 78 |
| 13 | DURAND Jacky | 76 |
| 14 | NEUVILLE Jerome | 85 |
| 15 | PORTAL Nicolas | 70 |
| 16 | DEREPAS David | 69 |
| 17 | MOREAU Christophe | 71 |
| 19 | GESLIN Anthony | 68 |
| 21 | ENGOULVENT Jimmy | 82 |