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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRISTOFF Alexander | 78 |
| 2 | GUARDINI Andrea | 66 |
| 3 | EWAN Caleb | 69 |
| 4 | TRUSOV Nikolay | 77 |
| 5 | ALBANESE Vincenzo | 70 |
| 6 | SKUJIŅŠ Toms | 70 |
| 7 | VIVIANI Elia | 67 |
| 8 | MCLAY Daniel | 72 |
| 9 | BONIFAZIO Niccolò | 72 |
| 10 | CARUSO Damiano | 67 |
| 12 | VAN POPPEL Danny | 82 |
| 13 | BARBIER Rudy | 79 |
| 14 | GREIPEL André | 80 |