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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAMMOND Roger | 71 |
| 2 | DEN BAKKER Maarten | 71 |
| 4 | HORRILLO Pedro | 76 |
| 5 | CARRARA Matteo | 67 |
| 9 | NUYENS Nick | 68 |
| 10 | NURITDINOV Rafael | 68 |
| 11 | TRAMPUSCH Gerhard | 60 |
| 12 | LANG Sebastian | 77 |