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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SLIK Ivar | 71 |
| 3 | VAN POPPEL Danny | 82 |
| 4 | GODRIE Stan | 74 |
| 6 | LAMMERTINK Steven | 68 |
| 7 | BOUWMAN Koen | 60 |
| 12 | HAVIK Piotr | 73 |
| 13 | VAN DER BURG Joost | 72 |
| 21 | BUGTER Luuc | 81 |
| 27 | VAN DEN BERG Maarten | 77 |
| 29 | VAN DONGEN Ricardo | 75 |
| 36 | KERKHOF Tim | 76 |
| 37 | VAN EMPEL Etienne | 64 |
| 38 | BAKKER Dennis | 74.5 |
| 39 | ROOSEN Timo | 78 |
| 43 | VAN SCHIP Jan-Willem | 84 |