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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHIAPPUCCI Claudio | 67 |
| 2 | DELGADO Pedro | 64 |
| 4 | ESCARTÍN Fernando | 61 |
| 6 | BELLI Wladimir | 64 |
| 7 | JIMÉNEZ José María | 70 |
| 10 | BRUYNEEL Johan | 71 |
| 11 | OLANO Abraham | 70 |
| 12 | GARCÍA CASAS Félix Miguel | 63 |
| 14 | DONATI Massimo | 75 |
| 15 | VIRENQUE Richard | 65 |
| 16 | BREUKINK Erik | 70 |