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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FUGLSANG Jakob | 67 |
| 2 | LANDA Mikel | 61 |
| 3 | TEUNS Dylan | 64 |
| 4 | HAIG Jack | 67 |
| 5 | BILBAO Pello | 60 |
| 6 | IZAGIRRE Ion | 60 |
| 7 | HARPER Chris | 67 |
| 8 | DE LA CRUZ David | 66 |
| 9 | VANHOUCKE Harm | 65 |
| 10 | FERNÁNDEZ Rubén | 60 |
| 11 | ZEITS Andrey | 73 |
| 12 | SOLER Marc | 68 |
| 13 | ARMÉE Sander | 72 |
| 14 | TOLHOEK Antwan | 61 |
| 15 | PEDRERO Antonio | 60 |