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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Marlon Alirio | 68 |
| 2 | GONZÁLEZ Freddy Excelino | 55 |
| 3 | COX Ryan | 62 |
| 4 | MARÍN Ruber Alveiro | 55 |
| 6 | GEORGE David | 61 |
| 7 | FRASER Gordon | 71 |
| 8 | LAVERDE Luis Felipe | 63 |
| 10 | VAN DE WOUWER Kurt | 66 |
| 11 | BRUYLANDTS Dave | 63 |
| 12 | BLANCO Santiago | 66 |
| 14 | BELLI Wladimir | 64 |
| 15 | MIZBANI Ghader | 67 |
| 16 | VAN DE WALLE Jurgen | 74 |
| 17 | KANNEMEYER Tiaan | 67 |
| 19 | FLORENCIO Xavier | 59 |