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 = -0.6 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVASINA Matija | 72 |
| 2 | NECHITA Andrei | 71 |
| 5 | VASILYEV Maksym | 70 |
| 6 | FRANZOI Enrico | 70 |
| 7 | DE LA PARTE Víctor | 64 |
| 19 | TAMOURIDIS Ioannis | 70 |
| 21 | GROSU Eduard-Michael | 68 |
| 23 | GERGANOV Evgeni | 60 |
| 26 | GYUROV Spas | 75 |
| 40 | TANOVIȚCHII Nicolae | 73 |
| 48 | TOPCHANYUK Artem | 65 |
| 59 | CHOLAKOV Stanimir | 66 |
| 67 | LOVASSY Krisztián | 71 |
| 68 | GAEBEL Stefan | 68 |