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 + 35
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DUCHESNE Antoine | 75 |
| 20 | HALLER Marco | 72 |
| 26 | KONRAD Patrick | 64 |
| 30 | RABITSCH Stephan | 69 |
| 31 | PUTT Tanner | 75 |
| 43 | DAL-CIN Matteo | 77 |
| 51 | STONE Mike | 64 |
| 63 | LIPHONGYU Navuti | 61 |
| 67 | PÖSTLBERGER Lukas | 70 |
| 77 | SIRIRONNACHAI Sarawut | 61 |
| 121 | BARRETTE Hugo | 80 |