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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 3 | HAMBURGER Bo | 58 |
| 7 | MAURI Melchor | 68 |
| 9 | GAUMONT Philippe | 77 |
| 11 | HODGE Stephen | 74 |
| 12 | LELLI Massimiliano | 69 |
| 15 | BREUKINK Erik | 70 |
| 18 | JIMÉNEZ José María | 70 |