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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Gerganov
1
60 kgGiunti
3
62 kgSilva
4
71 kgPetrov
5
66 kgDyachenko
10
65 kg
1
60 kgGiunti
3
62 kgSilva
4
71 kgPetrov
5
66 kgDyachenko
10
65 kg
Weight (KG) →
Result →
71
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERGANOV Evgeni | 60 |
| 3 | GIUNTI Massimo | 62 |
| 4 | SILVA Luis Filipe | 71 |
| 5 | PETROV Daniel Bogomilov | 66 |
| 10 | DYACHENKO Alexandr | 65 |