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 = 15.3 * weight - 924
This means that on average for every extra kilogram weight a rider loses 15.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LATOUR Pierre | 66 |
| 2 | TEUGELS Lennert | 64 |
| 3 | GEARY Dillon | 71 |
| 5 | BLACKMORE Joseph | 66 |
| 6 | DOSTIYEV Ilkhan | 57 |
| 7 | LECERF Junior | 54 |
| 9 | ZERAY Nahom | 57 |
| 10 | RESTREPO Jhonatan | 73 |
| 11 | ROLLAND Brieuc | 59 |
| 12 | MAYER Alexandre | 64 |
| 13 | VERVENNE Jonathan | 72 |
| 15 | KRETSCHY Moritz | 63 |
| 16 | MANIZABAYO Eric | 72 |
| 19 | SIMON Julien | 65 |
| 991 | ARERUYA Joseph | 74 |