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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SERRANO Gonzalo | 65 |
| 2 | AULAR Orluis | 65 |
| 3 | IMPEY Daryl | 72 |
| 4 | HAYTER Ethan | 70 |
| 5 | STANNARD Robert | 74 |
| 6 | CANOLA Marco | 66 |
| 7 | CEPEDA Jefferson Alveiro | 61 |
| 8 | SKUJIŅŠ Toms | 70 |
| 9 | LÓPEZ Miguel Ángel | 59 |
| 10 | TOLHOEK Antwan | 61 |
| 11 | BYSTRØM Sven Erik | 73 |
| 12 | LASTRA Jonathan | 64 |
| 13 | PARRA José Félix | 55 |
| 14 | MATÉ Luis Ángel | 68 |
| 15 | GIBBONS Ryan | 70 |