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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OMLOOP Geert | 78 |
| 2 | CAPPELLE Andy | 71 |
| 4 | PENCOLÉ Franck | 74 |
| 7 | CAETHOVEN Steven | 67 |
| 8 | VANLANDSCHOOT James | 67 |
| 9 | DEKKER Thomas | 69 |
| 18 | BALČIŪNAS Linas | 90 |
| 19 | HAMMOND Roger | 71 |
| 20 | GILING Bas | 72 |
| 24 | DE GROOTE Thierry | 71 |
| 25 | VAN HUMMEL Kenny | 64 |
| 30 | KOHL Bernhard | 61 |