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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 2 | EECKHOUT Niko | 73 |
| 6 | CAPELLE Ludovic | 75 |
| 8 | PANKOV Oleg | 72 |
| 11 | KLEYNEN Steven | 72 |
| 12 | HEGREBERG Morten | 72 |
| 13 | TOMBAK Janek | 71 |
| 19 | HULSMANS Kevin | 75 |
| 21 | HAMMOND Roger | 71 |
| 22 | FOX Morgan | 70 |
| 23 | MIFUNE Masahiko | 70 |
| 24 | GUYTON Scott | 74 |
| 27 | LÖWIK Gerben | 72 |
| 29 | FLAMMANG Tom | 80 |