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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDET Nicolas | 60 |
| 2 | MARTIN Guillaume | 55 |
| 3 | SICARD Romain | 63 |
| 5 | PEREZ Anthony | 70 |
| 6 | GESBERT Élie | 63 |
| 7 | ROSSETTO Stéphane | 68 |
| 9 | ROSÓN Jaime | 62 |
| 10 | BIZKARRA Mikel | 53 |
| 11 | MOLINA Antonio | 57 |
| 12 | KUSS Sepp | 61 |
| 13 | HARDY Romain | 62 |
| 14 | SEIGLE Romain | 63 |