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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDRIATO Rafael | 67 |
| 2 | LUTSENKO Alexey | 74 |
| 3 | WALSCHEID Max | 90 |
| 4 | FERRARI Roberto | 73 |
| 5 | JONES Brenton | 81 |
| 6 | KRAGH ANDERSEN Asbjørn | 72 |
| 7 | TLEUBAYEV Ruslan | 70 |
| 8 | ZURLO Federico | 70 |
| 9 | MOHORIČ Matej | 71 |
| 10 | PONZI Simone | 63 |
| 11 | PAGE Dylan | 64 |
| 12 | ZURITA Francesc | 67 |
| 15 | PERON Andrea | 70 |
| 16 | BROWN Graeme Allen | 76 |