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 + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Bogdanovičs
1
68 kgStash
3
77 kgRamanau
5
68 kgVasylyuk
6
65 kgLiepiņš
8
67 kg
1
68 kgStash
3
77 kgRamanau
5
68 kgVasylyuk
6
65 kgLiepiņš
8
67 kg
Weight (KG) →
Result →
77
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOGDANOVIČS Māris | 68 |
| 3 | STASH Mamyr | 77 |
| 5 | RAMANAU Raman | 68 |
| 6 | VASYLYUK Andriy | 65 |
| 8 | LIEPIŅŠ Emīls | 67 |