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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRASER Gordon | 71 |
| 2 | MONCASSIN Frédéric | 73 |
| 3 | BAFFI Adriano | 70 |
| 4 | CHANTEUR Pascal | 62 |
| 5 | PIZIKS Arvis | 70 |
| 6 | TETERIOUK Andrei | 72 |
| 7 | ALDAG Rolf | 75 |
| 8 | MENGIN Christophe | 68 |
| 10 | IVANOV Sergei | 73 |
| 12 | BROCHARD Laurent | 68 |
| 13 | RIIS Bjarne | 71 |
| 14 | HEPPNER Jens | 69 |
| 15 | VOSKAMP Bart | 75 |
| 16 | MOERENHOUT Koos | 74 |
| 17 | VAN HYFTE Paul | 70 |
| 20 | HAMBURGER Bo | 58 |