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 = -4.7 * weight + 354
This means that on average for every extra kilogram weight a rider loses -4.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 4 | BREUKINK Erik | 70 |
| 7 | ROCHE Stephen | 74 |
| 8 | DELGADO Pedro | 64 |
| 19 | BAGUET Serge | 67 |
| 26 | MAURI Melchor | 68 |
| 53 | BUGNO Gianni | 68 |
| 61 | CHIAPPUCCI Claudio | 67 |
| 116 | LEMOND Greg | 67 |