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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GEOGHEGAN HART Tao | 65 |
| 2 | VERMEULEN Moran | 67 |
| 3 | GALL Felix | 66 |
| 4 | CARTHY Hugh | 69 |
| 5 | SOSA Iván Ramiro | 52 |
| 6 | VLASOV Aleksandr | 68 |
| 7 | PARET-PEINTRE Valentin | 52 |
| 9 | SIVAKOV Pavel | 70 |
| 10 | FORTUNATO Lorenzo | 57 |
| 11 | MARTÍN Alex | 60 |
| 12 | GAROSIO Andrea | 58 |
| 13 | KÄMNA Lennard | 65 |
| 14 | BUITRAGO Santiago | 59 |
| 15 | HAIG Jack | 67 |