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 = 1.5 * weight - 84
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Gerganov
1
60 kgPedraza
2
58 kgTopchanyuk
7
65 kgVasilyev
10
70 kgȚvetcov
17
69 kgPetrov
48
66 kg
1
60 kgPedraza
2
58 kgTopchanyuk
7
65 kgVasilyev
10
70 kgȚvetcov
17
69 kgPetrov
48
66 kg
Weight (KG) →
Result →
70
58
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERGANOV Evgeni | 60 |
| 2 | PEDRAZA Wálter Fernando | 58 |
| 7 | TOPCHANYUK Artem | 65 |
| 10 | VASILYEV Maksym | 70 |
| 17 | ȚVETCOV Serghei | 69 |
| 48 | PETROV Daniel Bogomilov | 66 |