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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMPAERT Yves | 75 |
| 2 | TRENTIN Matteo | 74 |
| 3 | BLYTHE Adam | 68 |
| 4 | THEUNS Edward | 72 |
| 5 | MODOLO Sacha | 67 |
| 6 | SCHWARZMANN Michael | 69 |
| 7 | OSS Daniel | 75 |
| 8 | VAN ASBROECK Tom | 72 |
| 9 | KONRAD Patrick | 64 |
| 10 | NIBALI Vincenzo | 65 |
| 11 | CHAVES Esteban | 55 |
| 12 | HALLER Marco | 72 |
| 13 | CLARKE Simon | 63 |
| 14 | MOLANO Juan Sebastián | 72 |
| 15 | REGUIGUI Youcef | 69 |