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 = -1.2 * weight + 100
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KELLY Sean | 77 |
| 4 | DE VLAEMINCK Roger | 74 |
| 5 | RAAS Jan | 72 |
| 6 | VAN KATWIJK Fons | 75 |
| 7 | DE WOLF Fons | 75 |
| 9 | DEMEYER Marc | 85 |
| 13 | HEIRWEG Dirk | 73 |
| 28 | POLLENTIER Michel | 62 |
| 33 | PRIEM Cees | 75 |
| 35 | VAN VLIET Leo | 65 |