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 + 11
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANBILSEN Kenneth | 73 |
| 3 | SPRENGERS Thomas | 60 |
| 5 | DÉMARE Arnaud | 76 |
| 6 | JANS Roy | 68 |
| 7 | DŽERVUS Darijus | 77 |
| 13 | DUMOULIN Tom | 69 |
| 14 | VAN GOETHEM Brian | 77 |
| 17 | SCHOONBROODT Bob | 78 |
| 24 | NAESEN Oliver | 74 |
| 56 | VANDYCK Niels | 64 |
| 67 | KONING Peter | 77 |