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 + 62
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHADWICK Glen Alan | 75 |
| 2 | BLACKGROVE Heath | 65 |
| 5 | PAURIOL Rémi | 68 |
| 15 | HUPOND Thierry | 65 |
| 19 | LABBÉ Arnaud | 73 |
| 25 | FREI Thomas | 71 |
| 26 | BOURGEOIS Guillaume | 61 |
| 41 | WYSS Danilo | 65 |
| 45 | LANG Pirmin | 73 |
| 47 | ZAHNER Simon | 73 |
| 50 | ANTOMARCHI Julien | 70 |
| 53 | MARTIN Dan | 59 |