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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Mads | 76 |
| 2 | PHILIPSEN Jasper | 75 |
| 3 | ACKERMANN Pascal | 78 |
| 4 | VAN POPPEL Danny | 82 |
| 5 | MERLIER Tim | 76 |
| 6 | MANZIN Lorrenzo | 69 |
| 7 | BISSEGGER Stefan | 78 |
| 8 | ŠTYBAR Zdeněk | 68 |
| 9 | DAINESE Alberto | 70 |
| 10 | EEKHOFF Nils | 75 |
| 11 | LAPORTE Christophe | 76 |
| 12 | SÉNÉCHAL Florian | 77 |
| 13 | VAN DER POEL Mathieu | 75 |
| 14 | VANMARCKE Sep | 77 |