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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GESBERT Élie | 63 |
| 2 | ARANBURU Alex | 63 |
| 3 | PARET-PEINTRE Aurélien | 64 |
| 4 | CHAMPOUSSIN Clément | 61 |
| 5 | ROCHAS Rémy | 51 |
| 7 | JULLIEN Anthony | 72 |
| 8 | RAPPO Anthony | 63 |
| 9 | GUGLIELMI Simon | 66 |
| 12 | CARR Simon | 66 |