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 = 0.9 * weight - 54
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN GINNEKEN Sjoerd | 72 |
| 2 | POWER Robert | 68 |
| 3 | GROEN Ike | 70.5 |
| 4 | SCHLEGEL Michal | 72 |
| 5 | SCHACHMANN Maximilian | 71 |
| 6 | HAIG Jack | 67 |
| 7 | KRUL Stef | 68 |
| 10 | KASPERKIEWICZ Przemysław | 71 |
| 11 | CARBEL Michael | 73 |
| 12 | CORT Magnus | 68 |
| 13 | KUKRLE Michael | 73 |
| 15 | BIERMANS Jenthe | 78 |
| 16 | KIRSCH Alex | 78 |