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 = -1.8 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSKING Chloe | 60 |
| 2 | JEULAND-TRANCHANT Pascale | 61 |
| 5 | CORDON-RAGOT Audrey | 60 |
| 6 | GUTIÉRREZ Sheyla | 60 |
| 10 | BIANNIC Aude | 64 |
| 12 | HAGIWARA Mayuko | 52 |
| 15 | SICOT Marion | 58 |
| 27 | ALLIN Pauline | 58 |
| 30 | FAHLIN Emilia | 63 |
| 43 | FOURNIER Roxane | 60 |
| 44 | DUVAL Eugénie | 53 |
| 45 | PETIT Marlene | 53 |