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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUÉ Gérard | 74 |
| 2 | ROMINGER Tony | 65 |
| 3 | EKIMOV Viatcheslav | 69 |
| 8 | WALTON Brian | 68 |
| 9 | WINNEN Peter | 60 |
| 10 | BÖLTS Udo | 73 |
| 11 | ELLI Alberto | 71 |
| 20 | BRUYNEEL Johan | 71 |
| 22 | DE WILDE Etienne | 70 |