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 = 1.1 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKIBBY Jesper | 70 |
| 2 | JALABERT Laurent | 66 |
| 3 | EKIMOV Viatcheslav | 69 |
| 4 | BRUYNEEL Johan | 71 |
| 7 | GAYANT Martial | 69 |
| 9 | ANDERSSON Michael | 71 |
| 10 | SIMON François | 70 |
| 11 | BROCHARD Laurent | 68 |
| 12 | GARMENDIA Aitor | 68 |
| 14 | DURAND Jacky | 76 |
| 16 | BOURGUIGNON Thierry | 72 |
| 20 | RIIS Bjarne | 71 |