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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRANTZ Nicolas | 78 |
| 2 | DÉOLET Aimé | 69 |
| 3 | LEDUCQ André | 76 |
| 4 | DEWAELE Maurice | 69 |
| 5 | CEPEDA Francisco | 64 |
| 6 | BIDOT Marcel | 78 |
| 7 | TRUEBA Vicente | 58 |
| 8 | VERVAECKE Julien | 70 |
| 9 | CAÑARDO Mariano | 77 |
| 10 | EZQUERRA Federico | 63 |