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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dyachenko
1
65 kgGerganov
2
60 kgJakin
3
71 kgSilva
4
71 kgIglinskiy
5
68 kg
1
65 kgGerganov
2
60 kgJakin
3
71 kgSilva
4
71 kgIglinskiy
5
68 kg
Weight (KG) →
Result →
71
60
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYACHENKO Alexandr | 65 |
| 2 | GERGANOV Evgeni | 60 |
| 3 | JAKIN Alo | 71 |
| 4 | SILVA Luis Filipe | 71 |
| 5 | IGLINSKIY Valentin | 68 |