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 = -0.8 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAMPERS Jean-Marie | 82 |
| 2 | BAUER Steve | 72 |
| 4 | ARGENTIN Moreno | 66 |
| 5 | VAN DER POEL Adrie | 70 |
| 9 | MOSER Francesco | 79 |
| 20 | BUGNO Gianni | 68 |
| 25 | KUIPER Hennie | 69 |
| 29 | GLAUS Gilbert | 67 |
| 31 | DERNIES Michel | 75 |
| 33 | CAROLI Daniele | 77 |
| 35 | ROMINGER Tony | 65 |
| 36 | DE WOLF Fons | 75 |
| 38 | LEMOND Greg | 67 |
| 39 | RIIS Bjarne | 71 |
| 40 | SERGEANT Marc | 76 |
| 44 | VANDI Alfio | 64 |