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 = -0.6 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRINKLER Richard | 67 |
| 4 | LILHOLT Søren | 72 |
| 5 | DE WILDE Etienne | 70 |
| 6 | HOSTE Frank | 76 |
| 7 | MUSEEUW Johan | 71 |
| 8 | VAN DER POEL Adrie | 70 |
| 16 | SERGEANT Marc | 76 |
| 17 | LIPTÁK Miroslav | 68 |
| 24 | NEVENS Jan | 58 |
| 31 | SUKHORUCHENKOV Sergei | 72 |
| 37 | MARIE Thierry | 68 |
| 43 | VEENSTRA Wiebren | 70 |
| 46 | DEMIERRE Serge | 70 |
| 47 | GIANETTI Mauro | 62 |
| 53 | DE WOLF Fons | 75 |