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 + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 3 | MAURI Melchor | 68 |
| 4 | ZANINI Stefano | 80 |
| 6 | PICCOLI Mariano | 64 |
| 9 | FRASER Gordon | 71 |
| 11 | VAN HEESWIJK Max | 73 |
| 14 | SARKAUSKAS Saulius | 74 |
| 15 | VOSKAMP Bart | 75 |
| 16 | DOMÍNGUEZ Juan Carlos | 64 |
| 17 | DEKKER Erik | 66 |
| 19 | MCRAE William Chann | 62 |
| 20 | FRATTINI Francesco | 60 |