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 - 39
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 3 | LEMOND Greg | 67 |
| 10 | SCHEPERS Eddy | 60 |
| 18 | EARLEY Martin | 62 |
| 20 | WINNEN Peter | 60 |
| 25 | DUCLOS-LASSALLE Gilbert | 73 |
| 27 | CHIAPPUCCI Claudio | 67 |
| 29 | MADIOT Marc | 68 |
| 44 | BAUER Steve | 72 |
| 50 | HOSTE Frank | 76 |
| 52 | MARIE Thierry | 68 |
| 59 | BREUKINK Erik | 70 |
| 60 | PLANCKAERT Eddy | 69 |
| 65 | DE ROOIJ Theo | 69 |