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 = 2.1 * weight - 100
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ALLIN Pauline | 58 |
| 9 | FOURNIER Roxane | 60 |
| 12 | DUVAL Eugénie | 53 |
| 13 | LABOUS Juliette | 54 |
| 15 | SICOT Marion | 58 |
| 18 | JOUNIER Lucie | 58 |
| 20 | BIANNIC Aude | 64 |
| 21 | GROSSETÊTE Maëlle | 60 |
| 22 | CORDON-RAGOT Audrey | 60 |
| 32 | VERHULST-WILD Gladys | 58 |
| 60 | LAURANCE Typhaine | 62 |