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 = 0.4 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KOTSEV Boyan | 72 |
| 5 | ADLER Egon | 62 |
| 7 | KAPITONOV Viktor | 73 |
| 8 | SCHUR Gustav-Adolf | 73 |
| 10 | LEVAČIĆ Ivan | 77 |
| 21 | TÖRÖK Győző | 68 |
| 23 | HAGEN Erich | 74 |
| 32 | FORNALCZYK Bogusław | 77 |
| 33 | KLEVTSOV Yevgeny Pyotrovich | 76 |
| 47 | MOICEANU Gabriel | 72 |
| 56 | ȘELARU Aurel | 69 |
| 73 | BAJC Alojz | 69 |
| 77 | HAUTALAHTI Unto | 75 |