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 = -0.3 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DAY Benjamin | 68 |
| 6 | DAVIS Allan | 73 |
| 7 | SWEET Jay | 69 |
| 9 | VAN LANCKER Kurt | 67 |
| 12 | TRAMPUSCH Gerhard | 60 |
| 13 | JENNER Christopher | 68 |
| 14 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 16 | PIIL Jakob Storm | 65 |
| 17 | EVANS Cadel | 64 |
| 18 | PAOLINI Luca | 66 |
| 20 | AGNOLUTTO Christophe | 69 |
| 21 | VAN HYFTE Paul | 70 |
| 22 | ROBERTS Luke | 71 |
| 23 | BOTCHAROV Alexandre | 54 |
| 24 | MÄNDOJA Innar | 69 |