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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALDO Nicolas | 73 |
| 5 | HIRT Jan | 62 |
| 6 | HNÍK Karel | 57 |
| 7 | GROEN Ike | 70.5 |
| 8 | BERNAS Paweł | 77 |
| 9 | VAN GINNEKEN Sjoerd | 72 |
| 10 | CARBEL Michael | 73 |
| 11 | POWER Robert | 68 |
| 13 | LATOŃ Eryk | 76 |
| 14 | LAMMERTINK Maurits | 61 |
| 15 | JANIACZYK Błażej | 68 |
| 17 | STĘPNIAK Grzegorz | 75 |
| 18 | HOELGAARD Daniel | 77 |
| 20 | SCHACHMANN Maximilian | 71 |
| 22 | ZANGERLE Joel | 63 |
| 23 | NIKOLAEV Sergey | 66 |
| 24 | HONIG Reinier | 61 |