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 = -4.7 * weight + 953
This means that on average for every extra kilogram weight a rider loses -4.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMONI Gilberto | 59 |
| 2 | SIMEONI Filippo | 68 |
| 3 | GAUMONT Philippe | 77 |
| 8 | BESSY Frédéric | 65 |
| 10 | BUGNO Gianni | 68 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | GOTTI Ivan | 65 |
| 990 | PANTANI Marco | 58 |
| 990 | SVORADA Ján | 76 |
| 990 | TONKOV Pavel | 70 |
| 990 | BRAMATI Davide | 72 |
| 990 | BELLI Wladimir | 64 |
| 990 | PIEPOLI Leonardo | 54 |
| 990 | VELO Marco | 70 |