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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUMACHER Stefan | 71 |
| 2 | WIGGINS Bradley | 76 |
| 3 | FOTHEN Markus | 71 |
| 5 | JURČO Matej | 69 |
| 6 | MARINANGELI Sergio | 65 |
| 7 | RETSCHKE Robert | 66 |
| 8 | LEQUATRE Geoffroy | 64 |
| 9 | SANTAMBROGIO Mauro | 63 |
| 10 | BERTHOU Eric | 72 |
| 11 | LONGO BORGHINI Paolo | 76 |
| 14 | BAZAYEV Assan | 62 |
| 15 | IGLINSKIY Maxim | 67 |
| 19 | NAPOLITANO Danilo | 81 |