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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIERICKX André | 74 |
| 2 | KUIPER Hennie | 69 |
| 3 | DE BRAUWERE Lucien | 63 |
| 8 | GILSON Roger | 70 |
| 11 | TSCHAN Jürgen | 68 |
| 12 | POLLENTIER Michel | 62 |
| 15 | PFENNINGER Louis | 70 |
| 16 | VAN LOOY Frans | 75 |
| 18 | GAIDA Alfred | 65 |