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 = -1.9 * weight + 156
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Nyman
4
77 kgSchur
11
73 kgMoiceanu
21
72 kgKlevtsov
30
76 kgTörök
32
68 kg
4
77 kgSchur
11
73 kgMoiceanu
21
72 kgKlevtsov
30
76 kgTörök
32
68 kg
Weight (KG) →
Result →
77
68
4
32
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | NYMAN Paul | 77 |
| 11 | SCHUR Gustav-Adolf | 73 |
| 21 | MOICEANU Gabriel | 72 |
| 30 | KLEVTSOV Yevgeny Pyotrovich | 76 |
| 32 | TÖRÖK Győző | 68 |