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 = 1.2 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Pedraza
2
58 kgGerganov
3
60 kgȚvetcov
8
69 kgVasilyev
12
70 kgTopchanyuk
18
65 kgPetrov
45
66 kg
2
58 kgGerganov
3
60 kgȚvetcov
8
69 kgVasilyev
12
70 kgTopchanyuk
18
65 kgPetrov
45
66 kg
Weight (KG) →
Result →
70
58
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PEDRAZA Wálter Fernando | 58 |
| 3 | GERGANOV Evgeni | 60 |
| 8 | ȚVETCOV Serghei | 69 |
| 12 | VASILYEV Maksym | 70 |
| 18 | TOPCHANYUK Artem | 65 |
| 45 | PETROV Daniel Bogomilov | 66 |