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 - 93
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LABOUS Juliette | 54 |
| 2 | VERHULST-WILD Gladys | 58 |
| 7 | KERBAOL Cédrine | 57 |
| 8 | BERTEAU Victoire | 57 |
| 10 | COPPONI Clara | 55 |
| 14 | CORDON-RAGOT Audrey | 60 |
| 15 | CURINIER Léa | 53 |
| 22 | ALLIN Pauline | 58 |
| 26 | JONCHERAY Victoire | 55 |
| 31 | DUVAL Eugénie | 53 |
| 33 | FOUQUENET Amandine | 60 |
| 35 | VIGIÉ Margaux | 58 |
| 36 | FOURNIER Roxane | 60 |
| 48 | MORICHON Anaïs | 56 |
| 56 | FORTIN Valentine | 55 |
| 60 | POMARES Cindy | 63 |