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 = -0.2 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Stephen | 74 |
| 2 | VAN DER POEL Adrie | 70 |
| 3 | DE WOLF Fons | 75 |
| 12 | KUIPER Hennie | 69 |
| 15 | DE VLAEMINCK Roger | 74 |
| 16 | THALER Klaus-Peter | 60 |
| 18 | KNUDSEN Knut | 79 |
| 20 | DUCLOS-LASSALLE Gilbert | 73 |
| 41 | DEMEYER Marc | 85 |
| 47 | SCHEPERS Eddy | 60 |
| 51 | POLLENTIER Michel | 62 |
| 77 | VAN KATWIJK Fons | 75 |