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 + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOLIĆ Mihajlo | 73 |
| 2 | HARASIM Mihnea-Alexandru | 72 |
| 6 | TOMŠIČ Dan Andrej | 69 |
| 7 | JURÍK Martin | 75 |
| 9 | TUKA Samuel | 57 |
| 13 | KRALJ Fabijan | 68 |
| 16 | MILOSHEVSKI Aleksandar | 57 |
| 19 | TURKULOV Luka | 65 |
| 25 | LEPOLD Zoltán Antal | 62 |
| 27 | TODOROV Daniel | 72 |
| 35 | MITEV Jovan | 62 |
| 39 | MUHA Luka | 62 |
| 42 | GEORGIEV Stefan | 68 |
| 43 | POPOV Vasil | 70 |