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 + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEENSEN André | 65 |
| 3 | KVIST Thomas Vedel | 68 |
| 5 | VINTHER Troels Rønning | 68 |
| 6 | VAN MELSEN Kévin | 77 |
| 8 | ROUX Anthony | 73 |
| 10 | ROSSETTO Stéphane | 68 |
| 11 | VENTER Jaco | 70 |
| 27 | JANSE VAN RENSBURG Jacques | 63 |
| 36 | GASTAUER Ben | 73 |
| 37 | CAMMAERTS Edwig | 74 |
| 39 | CHARUCKI Paweł | 64 |
| 44 | DRON Boris | 72 |
| 52 | ZANGERLE Joel | 63 |
| 54 | THURAU Björn | 73 |