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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONTAN Victor | 66 |
| 2 | LEDUCQ André | 76 |
| 3 | BUYSSE Lucien | 68 |
| 4 | FRANTZ Nicolas | 78 |
| 5 | BENOÎT Adelin | 72 |
| 6 | RONSSE Georges | 77 |
| 8 | DOSSCHE Aimé | 75 |
| 10 | CAÑARDO Mariano | 77 |
| 13 | CEPEDA Francisco | 64 |
| 14 | VAN DAM Joseph | 74 |
| 16 | VERVAECKE Julien | 70 |
| 17 | LOUESSE Désiré | 65 |
| 18 | PÉ Joseph | 68 |
| 22 | DEBUSSCHERE Jean | 79 |
| 23 | BROSTEAUX Georges | 70 |