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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLENGER Romain | 76 |
| 3 | GANAY Gustave | 62 |
| 9 | JACQUINOT Robert | 75 |
| 10 | MATHERON Marius | 63 |
| 11 | LEJEUNE Emile | 77 |
| 12 | COUTTE André | 76 |
| 15 | NAIN Etienne | 70 |
| 19 | PAOLI Napoléon | 56 |