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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SELLA Emanuele | 54 |
| 3 | REBELLIN Davide | 63 |
| 5 | HAMBURGER Bo | 58 |
| 7 | EFIMKIN Vladimir | 67 |
| 8 | DAVIS Scott | 60 |
| 9 | ASTARLOA Igor | 61 |
| 10 | CUNEGO Damiano | 58 |
| 12 | PALUMBO Giuseppe | 61 |
| 14 | IVANOV Ruslan | 71 |