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 = 0.6 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGINA Radoslav | 70 |
| 3 | BONČA Valter | 63 |
| 5 | MAHORIČ Mitja | 68 |
| 7 | GOLČER Jure | 66.5 |
| 8 | BOLE Grega | 69 |
| 9 | MATYSIAK Bartłomiej | 71 |
| 11 | STEVIĆ Ivan | 66 |
| 15 | RIŠKA Martin | 73 |
| 17 | KUSZTOR Péter | 61 |
| 23 | HRISTOV Stefan Koychev | 57 |
| 29 | KRUPA Dawid | 74 |
| 32 | GYUROV Spas | 75 |
| 45 | BRONIŠ Roman | 74 |
| 72 | ROMANIK Radosław | 62 |
| 90 | FOX Morgan | 70 |
| 91 | KÜÇÜKBAY Kemal | 70 |