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 - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEVILLERS Gilles | 62 |
| 3 | VERBIST Evert | 73 |
| 4 | VAN AVERMAET Greg | 74 |
| 5 | GESINK Robert | 70 |
| 7 | KOZONTCHUK Dmitry | 75 |
| 8 | DE KETELE Kenny | 66 |
| 9 | HOOGERLAND Johnny | 65 |
| 12 | BUTTERFIELD Tyler | 75 |
| 15 | LEEZER Tom | 76 |
| 16 | DALL'ANTONIA Tiziano | 70 |
| 17 | GOESINNEN Floris | 75 |