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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEWEIRDT Siebe | 69 |
| 2 | LÓPEZ Harold Martín | 55 |
| 5 | RACCAGNI Gabriele | 63 |
| 6 | COVI Alessandro | 66 |
| 9 | SCHURAN Michal | 70 |
| 10 | NOVÁK Pavel | 64 |
| 12 | VERCOUILLIE Victor | 66 |
| 14 | SEVILLA Diego Pablo | 64 |
| 15 | PELIKÁN János | 76 |
| 16 | CASTELLON Jan | 55 |
| 19 | MAŁECKI Kamil | 69 |
| 20 | HAJEK Alexander | 55 |
| 21 | VANTHOURENHOUT Michael | 62 |
| 22 | OTRUBA Jakub | 75 |
| 24 | CRETTI Luca | 63 |
| 25 | SUTTON Louis | 68 |