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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARO Manuele | 64 |
| 2 | KVASINA Matija | 72 |
| 3 | BRAMBILLA Gianluca | 57 |
| 5 | KUSZTOR Péter | 61 |
| 6 | KIŠERLOVSKI Robert | 72 |
| 8 | OSS Daniel | 75 |
| 9 | VREČER Robert | 68 |
| 10 | HONKISZ Adrian | 61 |
| 11 | KOREN Kristijan | 72 |
| 17 | MODOLO Sacha | 67 |
| 24 | ROGINA Radoslav | 70 |
| 25 | DE MARCHI Alessandro | 65 |