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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORDEEL Sander | 80 |
| 2 | PETROV Danail Andonov | 63 |
| 3 | TXURRUKA Amets | 58 |
| 4 | WELLENS Tim | 71 |
| 5 | DE VREESE Laurens | 78 |
| 7 | PAURIOL Rémi | 68 |
| 9 | SELIG Rüdiger | 80 |
| 11 | REICHENBACH Sébastien | 64 |
| 12 | BYSTRØM Sven Erik | 73 |
| 13 | PALOMARES Adrián | 56 |
| 14 | NEIRYNCK Stijn | 78 |
| 15 | VOGONDY Nicolas | 62 |