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 = -0.8 * weight + 78
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 3 | DEN HERTOG Fedor | 76 |
| 5 | POULIDOR Raymond | 71 |
| 7 | PFENNINGER Louis | 70 |
| 9 | KNUDSEN Knut | 79 |
| 14 | VAN IMPE Lucien | 59 |
| 17 | KUIPER Hennie | 69 |
| 32 | GAIDA Alfred | 65 |
| 37 | VAN LOOY Frans | 75 |
| 38 | DE BRAUWERE Lucien | 63 |
| 42 | AJA Gonzalo | 66 |
| 45 | SUTTER Ueli | 70 |