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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KEUKELEIRE Jens | 69 |
| 2 | ULISSI Diego | 63 |
| 3 | THWAITES Scott | 71 |
| 4 | HAIG Jack | 67 |
| 5 | GAVAZZI Francesco | 65 |
| 8 | FINKŠT Tilen | 70 |
| 9 | MODOLO Sacha | 67 |
| 10 | FRAILE Omar | 72 |
| 11 | BARBIN Enrico | 60 |
| 12 | SBARAGLI Kristian | 74 |
| 13 | CHIRICO Luca | 58 |
| 14 | DE KETELE Kenny | 66 |
| 15 | ROTA Lorenzo | 62 |
| 16 | PFINGSTEN Christoph | 69 |
| 17 | KOCHETKOV Pavel | 70 |
| 18 | BERNAL Egan | 60 |