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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOOGERD Michael | 62 |
| 3 | BLANCO Santiago | 66 |
| 4 | ULLRICH Jan | 73 |
| 5 | GARCÍA DAPENA David | 73 |
| 6 | VASSEUR Cédric | 70 |
| 7 | MADOUAS Laurent | 70 |
| 8 | ELLI Alberto | 71 |
| 9 | JIMÉNEZ José María | 70 |
| 10 | HERVÉ Pascal | 62 |
| 11 | VAN DE WOUWER Kurt | 66 |
| 12 | LIVINGSTON Kevin | 70 |
| 13 | JAN Xavier | 62 |
| 14 | BORDENAVE Philippe | 55 |
| 15 | VIRENQUE Richard | 65 |