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 = 1 * weight - 26
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALLER Marco | 72 |
| 7 | LIPHONGYU Navuti | 61 |
| 22 | DUCHESNE Antoine | 75 |
| 28 | PUTT Tanner | 75 |
| 35 | KONRAD Patrick | 64 |
| 37 | RABITSCH Stephan | 69 |
| 44 | SIRIRONNACHAI Sarawut | 61 |
| 47 | BARRETTE Hugo | 80 |
| 64 | STONE Mike | 64 |
| 67 | PÖSTLBERGER Lukas | 70 |
| 101 | DAL-CIN Matteo | 77 |