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 = -1.6 * weight + 131
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUFT Svein | 77 |
| 2 | KVACHUK Oleksandr | 68 |
| 4 | OCHOA Carlos José | 62 |
| 5 | PÉREZ Pedro Pablo | 68 |
| 7 | MEIER Christian | 61 |
| 8 | PARDILLA Sergio | 65 |
| 12 | KABUSH Geoff | 75 |
| 16 | COSME Antonio | 61 |
| 28 | ZARATE Jesús | 70 |
| 88 | PÖLL Stefan | 60 |
| 89 | PUGACI Igor | 67 |