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 = -0.2 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MUSIOL Daniel | 70 |
| 6 | DEHAES Kenny | 73 |
| 8 | VEELERS Tom | 75 |
| 13 | BOMMEL Henning | 75 |
| 16 | CORNU Dominique | 78 |
| 29 | BRAJKOVIČ Janez | 60 |
| 30 | RUSS Matthias | 62 |
| 32 | KLOSTERGAARD Kasper | 69 |
| 51 | KUX Christian | 74 |
| 64 | DUIJN Huub | 73 |
| 71 | GAJEK Artur | 74 |
| 73 | MORTENSEN Martin | 70 |
| 84 | GERDEMANN Linus | 71 |