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 - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRIM Tommy | 76 |
| 5 | DEN HERTOG Fedor | 76 |
| 8 | SEGERSALL Alf | 65 |
| 12 | DE VLAEMINCK Roger | 74 |
| 16 | THALER Klaus-Peter | 60 |
| 17 | HINAULT Bernard | 62 |
| 18 | SUTTER Ueli | 70 |
| 24 | VIEJO José Luis | 64 |
| 26 | FERNÁNDEZ Juan | 68 |
| 27 | WINNEN Peter | 60 |
| 35 | KNUDSEN Knut | 79 |
| 38 | DIDIER Lucien | 67 |
| 46 | DEMIERRE Serge | 70 |
| 61 | LADRÓN Rafael | 74 |
| 71 | VAN KATWIJK Fons | 75 |