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 + 99
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE VLAEMINCK Roger | 74 |
| 9 | SERCU Patrick | 76 |
| 10 | VAN LOOY Rik | 73 |
| 26 | DALER Jiří | 85 |
| 27 | PIJNEN René | 72 |
| 34 | SWERTS Roger | 75 |
| 41 | DOLMAN Evert | 71 |
| 42 | VASSEUR Alain | 67 |
| 45 | GODEFROOT Walter | 73 |
| 46 | POST Peter | 79 |
| 50 | NIJDAM Henk | 75 |
| 55 | BRACKE Ferdinand | 79 |
| 56 | PFENNINGER Louis | 70 |
| 84 | SCHUTZ Edy | 72 |