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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VINTHER Troels Rønning | 68 |
| 3 | ROUX Anthony | 73 |
| 4 | PONZI Simone | 63 |
| 6 | KANGERT Tanel | 65 |
| 7 | STEENSEN André | 65 |
| 8 | GAUTIER Cyril | 65 |
| 9 | KVIST Thomas Vedel | 68 |
| 11 | DUFRASNE Jonathan | 70 |
| 12 | KIREYEV Roman | 66 |
| 15 | GUARNIERI Jacopo | 80 |
| 16 | JOSEPH Gregory | 67 |
| 18 | AVERY Clinton | 90 |
| 19 | NOLF Frederiek | 68 |
| 20 | DOCKX Gert | 64 |