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 = -2.2 * weight + 198
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRIEM Cees | 75 |
| 3 | DEN HERTOG Fedor | 76 |
| 6 | SCHÜR Fritz | 74 |
| 11 | VAN DEN HOEK Aad | 77 |
| 14 | VAN KATWIJK Fons | 75 |
| 22 | HASSINK Arie | 71 |
| 31 | EDWARDS Phil | 80 |
| 51 | DUCHEMIN Marcel | 60 |
| 54 | KUIPER Hennie | 69 |
| 59 | SCHUITEN Roy | 83 |
| 64 | BAYTON Phil | 61 |
| 67 | HANSSON Leif | 77 |
| 89 | SCHMID Iwan | 64 |
| 107 | MITTEREGGER Rudolf | 68 |