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 = -1.4 * weight + 155
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MUSIOL Daniel | 70 |
| 11 | VEELERS Tom | 75 |
| 20 | DEHAES Kenny | 73 |
| 23 | MARTIN Tony | 75 |
| 25 | BOMMEL Henning | 75 |
| 34 | KLOSTERGAARD Kasper | 69 |
| 43 | KOZONTCHUK Dmitry | 75 |
| 49 | CORNU Dominique | 78 |
| 53 | GERDEMANN Linus | 71 |
| 59 | BRAJKOVIČ Janez | 60 |
| 67 | JOVANOVIĆ Nebojša | 60 |
| 85 | KUX Christian | 74 |
| 87 | RUSS Matthias | 62 |
| 105 | DUIJN Huub | 73 |
| 107 | GAJEK Artur | 74 |
| 108 | MORTENSEN Martin | 70 |