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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVAK Domen | 70 |
| 2 | DAVIES Scott | 66 |
| 3 | PEARSON Daniel | 53 |
| 6 | RUČIGAJ Žiga | 68 |
| 7 | ZAKARIN Aydar | 65 |
| 8 | KURBATOV Alexey | 73 |
| 9 | KATRAŠNIK Gašper | 69 |
| 10 | PER David | 81 |
| 11 | BAŠKA Erik | 74 |
| 12 | FINKŠT Tilen | 70 |
| 13 | JABRAYILOV Samir | 52 |
| 14 | SCHINNAGEL Johannes | 68 |
| 17 | YECHEZKEL Aviv | 70 |
| 18 | RUMAC Josip | 71 |