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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | VELITS Martin | 70 |
| 3 | BROWN Graeme Allen | 76 |
| 4 | BELLETTI Manuel | 72 |
| 5 | RADOCHLA Steffen | 70 |
| 7 | TUFT Svein | 77 |
| 8 | LJUNGBLAD Jonas | 70 |
| 9 | HAYMAN Mathew | 78 |
| 10 | FOTHEN Thomas | 71 |
| 11 | SWIFT Ben | 69 |
| 14 | PÖLL Stefan | 60 |