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 = -2.7 * weight + 205
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMOURIDIS Ioannis | 70 |
| 2 | LOVASSY Krisztián | 71 |
| 3 | GROSU Eduard-Michael | 68 |
| 5 | VASILYEV Maksym | 70 |
| 7 | NECHITA Andrei | 71 |
| 8 | FRANZOI Enrico | 70 |
| 11 | TANOVIȚCHII Nicolae | 73 |
| 12 | GYUROV Spas | 75 |
| 24 | KVASINA Matija | 72 |
| 33 | DE LA PARTE Víctor | 64 |
| 34 | CHOLAKOV Stanimir | 66 |
| 44 | GERGANOV Evgeni | 60 |
| 47 | GAEBEL Stefan | 68 |