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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MASSON Émile | 77 |
| 4 | COOMANS Jacques | 62 |
| 5 | RASQUI Joseph | 74 |
| 7 | HEUSGHEM Hector | 86 |
| 9 | MATHYS Jozef | 71 |
| 10 | DEVROYE Henri | 62 |
| 14 | DEJAEGER Henri | 74 |
| 18 | VERDICKT Hubert | 76 |
| 20 | ALLARD Henri | 69 |
| 24 | VAN MOL Karel | 68 |