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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENNIS Rohan | 72 |
| 2 | SÁNCHEZ Luis León | 73 |
| 3 | ASGREEN Kasper | 75 |
| 4 | SAGAN Peter | 78 |
| 5 | IMHOF Claudio | 80 |
| 6 | BODNAR Maciej | 77 |
| 7 | MATTHEWS Michael | 72 |
| 8 | TRENTIN Matteo | 74 |
| 9 | KRAGH ANDERSEN Søren | 73 |
| 10 | FRAILE Omar | 72 |
| 11 | VAN AVERMAET Greg | 74 |
| 12 | VAN KEIRSBULCK Guillaume | 89 |
| 13 | THALMANN Roland | 61 |
| 14 | MANNION Gavin | 58 |