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 = -0.5 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORNU Dominique | 78 |
| 4 | MORTENSEN Martin | 70 |
| 5 | VEELERS Tom | 75 |
| 6 | MARTIN Tony | 75 |
| 7 | DUIJN Huub | 73 |
| 10 | KUX Christian | 74 |
| 12 | BRAJKOVIČ Janez | 60 |
| 14 | RUSS Matthias | 62 |
| 16 | GAJEK Artur | 74 |
| 22 | BOMMEL Henning | 75 |
| 24 | KLOSTERGAARD Kasper | 69 |
| 25 | KOZONTCHUK Dmitry | 75 |
| 29 | DEHAES Kenny | 73 |
| 30 | JOVANOVIĆ Nebojša | 60 |
| 39 | MUSIOL Daniel | 70 |
| 88 | GERDEMANN Linus | 71 |