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 = -0.6 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PAPOK Siarhei | 76 |
| 3 | SAGAN Juraj | 65 |
| 5 | JARC Blaž | 87 |
| 6 | KUMP Marko | 68 |
| 7 | KITTEL Marcel | 82 |
| 11 | VAN ZANDBEEK Ronan | 72 |
| 15 | GALLOPIN Tony | 69 |
| 24 | HESSELBARTH David | 65 |
| 25 | VAN GARDEREN Tejay | 72 |
| 26 | GULDHAMMER Rasmus | 66 |
| 27 | KREDER Raymond | 70 |