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 | GROßSCHARTNER Felix | 64 |
| 2 | MAJKA Rafał | 62 |
| 3 | RYAN Archie | 56 |
| 4 | BARONCINI Filippo | 74 |
| 5 | DEL TORO Isaac | 64 |
| 6 | KONYCHEV Alexander | 76 |
| 7 | KÄMNA Lennard | 65 |
| 8 | ÁLVAREZ Héctor | 74 |
| 9 | PLOWRIGHT Jensen | 80 |
| 10 | DIK Calvin | 77 |
| 11 | ENGELHARDT Felix | 68 |
| 12 | AUGUST Andrew | 57 |
| 13 | CHARMIG Anthon | 66 |
| 14 | ZANGERLE Emanuel | 68 |