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 = -0.7 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAPOK Siarhei | 76 |
| 4 | HESSELBARTH David | 65 |
| 6 | GALLOPIN Tony | 69 |
| 12 | VAN ZANDBEEK Ronan | 72 |
| 13 | KUMP Marko | 68 |
| 16 | SAGAN Juraj | 65 |
| 17 | VAN GARDEREN Tejay | 72 |
| 22 | GULDHAMMER Rasmus | 66 |