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 = -0.6 * weight + 88
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOMANS Carlo | 74 |
| 2 | PLANCKAERT Eddy | 69 |
| 3 | DE WOLF Fons | 75 |
| 8 | MUSEEUW Johan | 71 |
| 21 | HEIRWEG Dirk | 73 |
| 40 | DEMOL Dirk | 72 |
| 48 | PEETERS Wilfried | 76 |
| 58 | WAMPERS Jean-Marie | 82 |
| 59 | SERGEANT Marc | 76 |
| 63 | HOSTE Frank | 76 |
| 67 | DERNIES Michel | 75 |
| 73 | BRUYNEEL Johan | 71 |
| 77 | DE WILDE Etienne | 70 |
| 78 | SCHEPERS Eddy | 60 |