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 + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARSTENSEN Lucas | 69 |
| 3 | RATHE Jacob | 74 |
| 6 | VASYLYUK Andriy | 65 |
| 7 | BANI Eugenio | 72 |
| 13 | CASTILLO Ulises Alfredo | 72 |
| 16 | DUBOVSKI Vladzislau | 75 |
| 17 | NIETO Edgar | 58 |
| 18 | SAINBAYAR Jambaljamts | 60 |
| 21 | RAPPS Dario | 73 |
| 22 | LUNARDON Paolo | 77 |
| 24 | KOLAHDOZHAGH Amir | 60 |
| 25 | GALEYEV Vadim | 68 |