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 + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DEN HOEK Aad | 77 |
| 3 | MOSER Francesco | 79 |
| 9 | DEN HERTOG Fedor | 76 |
| 12 | SERCU Patrick | 76 |
| 14 | THALER Klaus-Peter | 60 |
| 22 | KELLY Sean | 77 |
| 31 | VIEJO José Luis | 64 |
| 33 | RAAS Jan | 72 |
| 35 | HOSTE Frank | 76 |
| 37 | PRIEM Cees | 75 |
| 45 | EDWARDS Phil | 80 |