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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VANDBORG Brian Bach | 75 |
| 5 | MARTIAS Rony | 71 |
| 7 | FUKUSHIMA Shinichi | 62 |
| 8 | STEURS Geert | 77 |
| 10 | LÖFKVIST Thomas | 70 |
| 11 | LELAY David | 67 |
| 13 | LEQUATRE Geoffroy | 64 |
| 19 | COUTOULY Cédric | 72 |