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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BITTNER Pavel | 73 |
| 3 | WATSON Samuel | 68 |
| 4 | PLOWRIGHT Jensen | 80 |
| 5 | COSTIOU Ewen | 64 |
| 6 | GUDMESTAD Tord | 82 |
| 7 | DE POOTER Dries | 66 |
| 9 | KUBIŠ Lukáš | 70 |
| 10 | STEININGER Fabian | 64 |
| 11 | UHLIG Henri | 69 |
| 13 | WOOD Harrison | 64 |
| 14 | LINDNER Tom | 71 |