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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Mironov
1
68 kgZakarin
3
67 kgEvtushenko
5
72 kgFirsanov
6
58 kgRybakov
7
65 kgRovny
8
62 kg
1
68 kgZakarin
3
67 kgEvtushenko
5
72 kgFirsanov
6
58 kgRybakov
7
65 kgRovny
8
62 kg
Weight (KG) →
Result →
72
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIRONOV Alexander | 68 |
| 3 | ZAKARIN Ilnur | 67 |
| 5 | EVTUSHENKO Alexander | 72 |
| 6 | FIRSANOV Sergey | 58 |
| 7 | RYBAKOV Alexander | 65 |
| 8 | ROVNY Ivan | 62 |