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 = 1.6 * weight - 87
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FIRSANOV Sergey | 58 |
| 5 | VORGANOV Eduard | 65 |
| 6 | BOLE Grega | 69 |
| 7 | SARAMOTINS Aleksejs | 75 |
| 8 | RIŠKA Martin | 73 |
| 11 | RASCH Gabriel | 72 |
| 17 | HEGREBERG Morten | 72 |
| 20 | KOCJAN Jure | 72 |
| 23 | VELITS Peter | 63 |
| 26 | BRONIŠ Roman | 74 |
| 39 | VELITS Martin | 70 |
| 44 | STRGAR Matic | 62 |
| 52 | KOREN Kristijan | 72 |
| 69 | RABOŇ František | 74 |
| 78 | VAN EMDEN Jos | 78 |