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 = -1.7 * weight + 127
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Klevtsov
1
76 kgHagen
2
74 kgKapitonov
3
73 kgSchur
4
73 kgMoiceanu
9
72 kg
1
76 kgHagen
2
74 kgKapitonov
3
73 kgSchur
4
73 kgMoiceanu
9
72 kg
Weight (KG) →
Result →
76
72
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KLEVTSOV Yevgeny Pyotrovich | 76 |
| 2 | HAGEN Erich | 74 |
| 3 | KAPITONOV Viktor | 73 |
| 4 | SCHUR Gustav-Adolf | 73 |
| 9 | MOICEANU Gabriel | 72 |