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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUDYAK Anatoliy | 53 |
| 3 | VAN DER POEL Mathieu | 75 |
| 4 | STRAKHOV Dmitry | 70 |
| 6 | NOWAK Florian | 68 |
| 7 | ŤOUPALÍK Adam | 65 |
| 9 | GESBERT Élie | 63 |
| 11 | WACHTER Alexander | 72 |
| 12 | LIZDE Seid | 70 |
| 13 | GEOGHEGAN HART Tao | 65 |
| 14 | PEDERSEN Mads | 70 |
| 16 | OWEN Logan | 67 |
| 17 | BONNAMOUR Franck | 70 |