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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAURANCE Axel | 63 |
| 2 | PEDERSEN Mads | 76 |
| 3 | VAUQUELIN Kévin | 69 |
| 4 | GENIETS Kevin | 73 |
| 5 | ROCHAS Rémy | 51 |
| 6 | VAN MOER Brent | 79 |
| 7 | COSNEFROY Benoît | 65 |
| 8 | BAUDIN Alex | 64 |
| 9 | PARET-PEINTRE Aurélien | 64 |
| 10 | BERCKMOES Jenno | 61 |
| 11 | BURGAUDEAU Mathieu | 61 |
| 12 | BETTIOL Alberto | 69 |
| 13 | HOELGAARD Markus | 74 |
| 14 | DELETTRE Alexandre | 62 |
| 15 | PACHER Quentin | 62 |