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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOSZ Patryk | 70 |
| 2 | GABBURO Davide | 63 |
| 3 | NIKITIN Matvey | 61 |
| 4 | VLASOV Aleksandr | 68 |
| 5 | DE ROSSI Lucas | 70 |
| 6 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 8 | STALNOV Nikita | 63 |
| 9 | FORTUNATO Lorenzo | 57 |
| 10 | GRABIS Mateusz | 75 |
| 13 | NATAROV Yuriy | 68 |
| 15 | GRUZDEV Dmitriy | 78 |