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 = -2.3 * weight + 876
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BALDATO Fabio | 60 |
| 10 | CAPELLE Christophe | 73 |
| 13 | ZÜLLE Alex | 72 |
| 990 | BREUKINK Erik | 70 |
| 990 | ROCHE Stephen | 74 |
| 990 | DELGADO Pedro | 64 |
| 990 | BAGUET Serge | 67 |
| 990 | MAURI Melchor | 68 |
| 990 | BUGNO Gianni | 68 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | LEMOND Greg | 67 |