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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DEBONS Antoine | 65 |
| 5 | MEENS Johan | 62 |
| 8 | DONNENWIRTH Tom | 63 |
| 9 | BURNETT Josh | 73 |
| 13 | CIUCCARELLI Riccardo | 55 |
| 14 | VERWILT Mauro | 76 |
| 15 | BELLERI Michael | 71 |
| 18 | JOVANOSKI Dimitar | 68 |
| 19 | PETER Jannis | 63 |
| 22 | HOČEVAR Kristjan | 57 |