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 * weight + 82
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKERS Hans | 72 |
| 2 | COYOT Arnaud | 76 |
| 4 | GILBERT Philippe | 75 |
| 6 | BURGHARDT Marcus | 75 |
| 8 | SIEBERG Marcel | 80 |
| 10 | VANDBORG Brian Bach | 75 |
| 13 | VAN DEN BROECK Jurgen | 69 |
| 14 | DOCKX Bart | 64 |
| 16 | MUGERLI Matej | 68 |
| 17 | MCCARTY Jonathan Patrick | 68 |
| 23 | CAETHOVEN Steven | 67 |