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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 3 | STEELS Tom | 73 |
| 4 | VERSTREPEN Johan | 66 |
| 10 | FEYS Wim | 80 |
| 13 | PEETERS Wilfried | 76 |
| 15 | VERHEYEN Geert | 68 |
| 17 | VAN BONDT Geert | 71 |
| 18 | JEMISON Marty | 71 |
| 21 | DE CLERCQ Hans | 80 |