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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLANO Juan Sebastián | 72 |
| 2 | BENFATTO Marco | 71 |
| 3 | MALUCELLI Matteo | 68 |
| 6 | MARECZKO Jakub | 67 |
| 7 | CIMA Damiano | 70 |
| 9 | HIGUITA Sergio | 57 |
| 10 | LIZDE Seid | 70 |
| 11 | MARQUE Alejandro Manuel | 68 |
| 15 | DAVIDS Brendon | 72 |
| 17 | MOSCA Jacopo | 65 |
| 18 | SHUMOV Nikolai | 65 |
| 20 | BANUSCH Richard | 78 |
| 21 | AULAR Orluis | 65 |