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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | EWAN Caleb | 69 |
| 3 | ARNDT Nikias | 77.5 |
| 4 | BOUDAT Thomas | 70 |
| 5 | VAN POPPEL Danny | 82 |
| 6 | TURGIS Anthony | 70 |
| 7 | MORA Sebastián | 70 |
| 8 | GERTS Floris | 71 |
| 9 | LAWLESS Chris | 72 |
| 10 | VOECKLER Thomas | 71 |
| 11 | DOMAGALSKI Karol | 77 |
| 13 | SMITH Dion | 67 |
| 14 | PAUWELS Serge | 65 |
| 15 | VAN LERBERGHE Bert | 83 |
| 16 | POLITT Nils | 80 |