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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROSSELER Sébastien | 78 |
| 4 | VAN DEN BROECK Jurgen | 69 |
| 5 | LAGUTIN Sergey | 68 |
| 6 | YATES Jeremy | 73 |
| 7 | VANSUMMEREN Johan | 79 |
| 8 | MCCARTY Jonathan Patrick | 68 |
| 10 | RENDERS Sven | 63 |
| 11 | POSTHUMA Joost | 76 |
| 12 | DE VOCHT Wim | 78 |
| 14 | SCHEUNEMAN Niels | 75 |
| 15 | DOCKX Bart | 64 |
| 16 | VAN HECKE Preben | 69 |
| 17 | GREIPEL André | 80 |
| 20 | BARBÉ Koen | 75 |
| 21 | MARTENS Paul | 69 |