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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LATOUR Pierre | 66 |
| 2 | TEUGELS Lennert | 64 |
| 3 | GEARY Dillon | 71 |
| 5 | BLACKMORE Joseph | 66 |
| 7 | LECERF Junior | 54 |
| 8 | MAYER Alexandre | 64 |
| 9 | ROLLAND Brieuc | 59 |
| 10 | RESTREPO Jhonatan | 73 |
| 11 | DOSTIYEV Ilkhan | 57 |
| 12 | VERVENNE Jonathan | 72 |
| 14 | KRETSCHY Moritz | 63 |
| 15 | ZERAY Nahom | 57 |
| 16 | MANIZABAYO Eric | 72 |
| 19 | SIMON Julien | 65 |