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 = 0.2 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CORDON-RAGOT Audrey | 60 |
| 3 | VERHULST-WILD Gladys | 58 |
| 4 | LABOUS Juliette | 54 |
| 10 | FOUQUENET Amandine | 60 |
| 12 | FERRAND-PRÉVOT Pauline | 53 |
| 14 | JOUNIER Lucie | 58 |
| 17 | DUVAL Eugénie | 53 |
| 18 | ALLIN Pauline | 58 |
| 21 | BERTEAU Victoire | 57 |
| 24 | LAURANCE Typhaine | 62 |
| 28 | FOURNIER Roxane | 60 |
| 29 | CURINIER Léa | 53 |
| 39 | JONCHERAY Victoire | 55 |
| 42 | POMARES Cindy | 63 |
| 44 | FORTIN Valentine | 55 |