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 + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEFA Ylber | 72 |
| 2 | ĐURIĆ Đorđe | 79 |
| 4 | VAN SCHIPSTAL Guus | 66 |
| 5 | RAILEANU Cristian | 63 |
| 6 | ASADOV Elchin | 77 |
| 8 | KARIĆ Vedad | 78 |
| 9 | DIVNIĆ Jovan | 64 |
| 17 | DUIJVESTEIJN Roy | 73 |
| 19 | LUMPAROV Georgi | 75 |
| 20 | MIKAYILZADE Musa | 66 |
| 23 | ANGELOV Lachezar | 59 |