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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BIDOT Marcel | 78 |
| 2 | DEWAELE Maurice | 69 |
| 3 | FRANTZ Nicolas | 78 |
| 4 | FAURE Benoît | 58 |
| 5 | CAÑARDO Mariano | 77 |
| 6 | AERTS Jean | 70 |
| 7 | VERVAECKE Julien | 70 |
| 9 | LEDUCQ André | 76 |
| 10 | FONTAN Victor | 66 |