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 + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DENIS Thomas | 67 |
| 4 | BRUNEL Alexys | 70 |
| 6 | GUERNALEC Thibault | 71 |
| 9 | DAVY Clément | 73 |
| 12 | GUGLIELMI Simon | 66 |
| 15 | DOLEATTO Aurélien | 61 |
| 18 | MALLE Nicolas | 60 |
| 24 | GUÉGAN Maël | 71 |
| 30 | FERRON Valentin | 67 |