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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUR Gustav-Adolf | 73 |
| 2 | KUDRA Jan | 68 |
| 2 | ZIELIŃSKI Rajmund | 80 |
| 2 | FORNALCZYK Bogusław | 77 |
| 3 | KAPITONOV Viktor | 73 |
| 3 | OLIZARENKO Anatoly | 72 |
| 4 | ANDREOLI Severino | 73 |
| 6 | SMOLÍK Jan | 73 |
| 7 | COSMA Ion | 82 |
| 8 | BILIĆ Cvitko | 76 |
| 8 | LEVAČIĆ Ivan | 77 |
| 10 | GEORGIEV DEMIREV Stoyan | 72 |
| 10 | KOTEV Dimitar | 82 |