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 = 2.4 * weight - 137
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VELITS Martin | 70 |
| 4 | BELKOV Maxim | 71 |
| 5 | CIEŚLIK Paweł | 65 |
| 6 | VELITS Peter | 63 |
| 11 | BIESEK Szymon | 66 |
| 13 | SINTSOV Anton | 62 |
| 18 | ŠTYBAR Zdeněk | 68 |
| 66 | WYSS Danilo | 65 |
| 72 | WESTPHAL Carlo | 75 |