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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAMOILAU Branislau | 77 |
| 3 | NIBALI Vincenzo | 65 |
| 4 | VISCONTI Giovanni | 63 |
| 5 | POZZOVIVO Domenico | 53 |
| 6 | MOINARD Amaël | 69 |
| 7 | GRIVKO Andrey | 70 |
| 8 | VELITS Peter | 63 |
| 9 | STRGAR Matic | 62 |
| 10 | BELKOV Maxim | 71 |
| 36 | SULZBERGER Bernard | 67 |
| 37 | KEMPS Aaron | 73 |