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 = -0.2 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DUCHESNE Antoine | 75 |
| 13 | HALLER Marco | 72 |
| 28 | PUTT Tanner | 75 |
| 35 | RABITSCH Stephan | 69 |
| 36 | STONE Mike | 64 |
| 42 | KONRAD Patrick | 64 |
| 45 | DAL-CIN Matteo | 77 |
| 57 | LIPHONGYU Navuti | 61 |
| 59 | SIRIRONNACHAI Sarawut | 61 |
| 61 | PÖSTLBERGER Lukas | 70 |
| 87 | BARRETTE Hugo | 80 |