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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 2 | VLIEGEN Loïc | 70 |
| 4 | VINTHER Troels Rønning | 68 |
| 5 | DE NEGRI Pier Paolo | 61 |
| 6 | WIŚNIOWSKI Łukasz | 78 |
| 7 | MUGERLI Matej | 68 |
| 8 | VERMELTFOORT Coen | 85 |
| 9 | DELTOMBE Kevin | 66 |
| 11 | STASSEN Julien | 66 |
| 12 | AVERIN Maksym | 74 |
| 13 | GROSU Eduard-Michael | 68 |
| 14 | KATYRIN Roman | 65 |
| 15 | DERNIES Tom | 68 |