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 - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIGNEUR Eddy | 71 |
| 2 | VAN BON Léon | 72 |
| 4 | BROCHARD Laurent | 68 |
| 5 | ROUS Didier | 70 |
| 9 | HEULOT Stéphane | 69 |
| 10 | DEKKER Erik | 66 |
| 11 | OLANO Abraham | 70 |
| 12 | RUMŠAS Raimondas | 64 |
| 13 | BERZIN Evgeni | 64 |
| 15 | ARMSTRONG Lance | 72 |
| 16 | VOSKAMP Bart | 75 |
| 17 | SIMON François | 70 |
| 18 | HOFFMAN Tristan | 80 |
| 19 | RODRIGUES Orlando Sergio | 68 |