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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEUSGHEM Hector | 86 |
| 3 | COOMANS Jacques | 62 |
| 5 | VERDICKT Hubert | 76 |
| 6 | MASSON Émile | 77 |
| 9 | DEJAEGER Henri | 74 |
| 11 | MATHYS Jozef | 71 |
| 14 | DEVROYE Henri | 62 |
| 16 | RASQUI Joseph | 74 |
| 18 | ALLARD Henri | 69 |
| 19 | VAN MOL Karel | 68 |