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 + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BIANNIC Aude | 64 |
| 2 | VERHULST-WILD Gladys | 58 |
| 4 | JEULAND-TRANCHANT Pascale | 61 |
| 5 | FOURNIER Roxane | 60 |
| 6 | LABOUS Juliette | 54 |
| 7 | JOUNIER Lucie | 58 |
| 12 | COPPONI Clara | 55 |
| 14 | SICOT Marion | 58 |
| 18 | FERRAND-PRÉVOT Pauline | 53 |
| 20 | CORDON-RAGOT Audrey | 60 |
| 21 | PITEL Edwige | 52 |
| 22 | DUVAL Eugénie | 53 |
| 30 | GROSSETÊTE Maëlle | 60 |
| 39 | HOUDIN Coralie | 61 |
| 65 | ALLIN Pauline | 58 |