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 = -1.1 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | KIRYIENKA Vasil | 69 |
| 6 | SARAMOTINS Aleksejs | 75 |
| 7 | HEGREBERG Morten | 72 |
| 9 | FIRSANOV Sergey | 58 |
| 12 | LJUNGBLAD Jonas | 70 |
| 16 | SØRENSEN Chris Anker | 64 |
| 20 | RASCH Gabriel | 72 |
| 22 | REIHS Michael | 75 |
| 28 | ADAMSSON Stefan | 68 |
| 46 | ALEHEIM Joakim | 68 |
| 51 | JØRGENSEN René | 60 |