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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZARATE Jesús | 70 |
| 5 | PÉREZ Pedro Pablo | 68 |
| 6 | MEIER Christian | 61 |
| 7 | OCHOA Carlos José | 62 |
| 8 | KVACHUK Oleksandr | 68 |
| 12 | TUFT Svein | 77 |
| 18 | KABUSH Geoff | 75 |
| 19 | PARDILLA Sergio | 65 |
| 21 | COSME Antonio | 61 |
| 22 | PÖLL Stefan | 60 |
| 53 | PUGACI Igor | 67 |