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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FUGLSANG Jakob | 67 |
| 3 | COPPEL Jérôme | 64 |
| 4 | FROOME Chris | 68 |
| 6 | BOARO Manuele | 64 |
| 7 | FRANK Mathias | 64 |
| 8 | PLIUȘCHIN Alexandr | 66 |
| 10 | ZEITS Andrey | 73 |
| 12 | GALLOPIN Tony | 69 |
| 13 | KVIST Thomas Vedel | 68 |
| 14 | SMUKULIS Gatis | 72 |
| 15 | GAUTIER Cyril | 65 |