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 + 67
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIŠKA Martin | 73 |
| 2 | RASCH Gabriel | 72 |
| 3 | SARAMOTINS Aleksejs | 75 |
| 5 | VORGANOV Eduard | 65 |
| 15 | RABOŇ František | 74 |
| 17 | KOCJAN Jure | 72 |
| 18 | OJAVEE Mart | 80 |
| 26 | FIRSANOV Sergey | 58 |
| 31 | KOREN Kristijan | 72 |
| 52 | VELITS Martin | 70 |
| 57 | STRGAR Matic | 62 |
| 58 | VELITS Peter | 63 |
| 67 | BRONIŠ Roman | 74 |
| 76 | VAN EMDEN Jos | 78 |
| 77 | HEGREBERG Morten | 72 |
| 82 | BOLE Grega | 69 |