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 = -1.1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 7 | MADIOT Marc | 68 |
| 8 | ROCHE Stephen | 74 |
| 10 | GAYANT Martial | 69 |
| 14 | JALABERT Laurent | 66 |
| 17 | EARLEY Martin | 62 |
| 21 | FIGNON Laurent | 67 |
| 28 | MURGUIALDAY Javier | 58 |