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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ĐURIĆ Đorđe | 78 |
| 5 | SCHMIDT Jakob | 78 |
| 6 | TURKULOV Luka | 65 |
| 7 | ARVANITOU Nikiforos | 71 |
| 8 | KUBIŠ Lukáš | 70 |
| 9 | DIVNIĆ Jovan | 64 |
| 11 | TUKA Samuel | 57 |
| 12 | DYANKOV Nikolay | 61 |
| 14 | LOHINSKÝ Filip | 71 |
| 15 | DAVARIAS Ioannis | 72 |
| 18 | OELKE Tim | 78 |
| 22 | GEORGIEV Stefan | 68 |
| 23 | PAPIERSKI Damian | 81 |