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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RODRIGUES Orlando Sergio | 68 |
| 3 | DIETZ Bert | 69 |
| 4 | MAURI Melchor | 68 |
| 6 | CHANTEUR Pascal | 62 |
| 8 | MEJIA Alvaro | 63 |
| 9 | UGRUMOV Piotr | 58 |
| 11 | OZOLS Dainis | 74 |
| 13 | GARCÍA CASAS Félix Miguel | 63 |
| 20 | VIRENQUE Richard | 65 |
| 22 | ZANINI Stefano | 80 |
| 23 | EKIMOV Viatcheslav | 69 |
| 25 | JALABERT Laurent | 66 |
| 26 | ZABEL Erik | 69 |
| 27 | AMORIM Gonçalo | 67 |
| 28 | OLANO Abraham | 70 |
| 29 | BOOGERD Michael | 62 |