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 = -0.5 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BISIAUX Léo | 58 |
| 2 | SENTJENS Sente | 85 |
| 5 | FOFONOV Artem | 70 |
| 6 | CHAMBERLAIN Oscar | 74 |
| 8 | TAPIZ Hugo | 61 |
| 9 | DECOMBLE Maxime | 62 |
| 24 | TAPIA Adur | 56 |
| 26 | ERRASTI Unax | 73 |
| 34 | RAMOS Unai | 60 |
| 39 | GIULIANO Dario | 63 |