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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE GROOT Bram | 65 |
| 2 | VICIOSO Ángel | 60 |
| 3 | HINCAPIE George | 83 |
| 4 | KESSLER Matthias | 70 |
| 5 | BOSSONI Paolo | 62 |
| 6 | FLORENCIO Xavier | 59 |
| 7 | GARZELLI Stefano | 62 |
| 8 | FLECHA Juan Antonio | 72 |
| 9 | PECHARROMÁN José Antonio | 78 |
| 10 | ETXEBARRIA Unai | 68 |
| 12 | HASELBACHER René | 69 |
| 13 | NOVAL Benjamín | 71 |
| 14 | ISASI Iñaki | 70 |
| 15 | PASAMONTES Luis | 72 |