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 = 0.7 * weight + 859
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KUIPER Hennie | 69 |
| 990 | KNUDSEN Knut | 79 |
| 990 | POULIDOR Raymond | 71 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | DEN HERTOG Fedor | 76 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | PFENNINGER Louis | 70 |
| 990 | AJA Gonzalo | 66 |
| 990 | SUTTER Ueli | 70 |
| 990 | VAN LOOY Frans | 75 |
| 990 | GAIDA Alfred | 65 |
| 990 | DE BRAUWERE Lucien | 63 |