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 = 0.9 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PITEL Edwige | 52 |
| 3 | CORDON-RAGOT Audrey | 60 |
| 4 | FERRAND-PRÉVOT Pauline | 53 |
| 6 | BIANNIC Aude | 64 |
| 7 | SICOT Marion | 58 |
| 26 | FOURNIER Roxane | 60 |
| 29 | DUVAL Eugénie | 53 |
| 32 | ALLIN Pauline | 58 |
| 50 | HOUDIN Coralie | 61 |