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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ONLEY Oscar | 62 |
| 2 | WANDAHL Frederik | 61 |
| 3 | FISHER-BLACK Finn | 69 |
| 4 | VACEK Mathias | 75 |
| 5 | PENHOËT Paul | 64 |
| 6 | ASKEY Lewis | 75 |
| 7 | BITTNER Pavel | 73 |
| 8 | MIHKELS Madis | 75 |
| 9 | VAN SINTMAARTENSDIJK Roel | 77 |
| 10 | SILVA Pedro | 67 |
| 11 | EULÁLIO Afonso | 62 |
| 13 | NARCISO Diogo | 72 |
| 14 | CAMPOS Noah | 67 |