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 = -47.5 * weight + 3875
This means that on average for every extra kilogram weight a rider loses -47.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAMATI Davide | 72 |
| 2 | SVORADA Ján | 76 |
| 3 | FONDRIEST Maurizio | 70 |
| 990 | GOTTI Ivan | 65 |
| 990 | TONKOV Pavel | 70 |
| 990 | BELLI Wladimir | 64 |
| 990 | PIEPOLI Leonardo | 54 |
| 990 | SIMEONI Filippo | 68 |
| 990 | VELO Marco | 70 |