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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Garibbo
1
57 kgPetrov
6
66 kgArvanitou
8
71 kgLarsen
12
70 kgErauw
14
69 kgOchsenhofer
18
88 kgKolev
19
64 kg
1
57 kgPetrov
6
66 kgArvanitou
8
71 kgLarsen
12
70 kgErauw
14
69 kgOchsenhofer
18
88 kgKolev
19
64 kg
Weight (KG) →
Result →
88
57
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARIBBO Nicolò | 57 |
| 6 | PETROV Yordan | 66 |
| 8 | ARVANITOU Nikiforos | 71 |
| 12 | LARSEN Ruben Zilas | 70 |
| 14 | ERAUW Thiemo | 69 |
| 18 | OCHSENHOFER Peter | 88 |
| 19 | KOLEV Yoan | 64 |