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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAZEMI Sarai Ahad | 71 |
| 2 | SCHUMACHER Stefan | 71 |
| 4 | KONING Peter | 77 |
| 6 | ZEMLYAKOV Oleg | 70 |
| 7 | ÁVILA Edwin | 61 |
| 10 | MOAZEMI Arvin | 70 |
| 11 | KOLAHDOZHAGH Amir | 60 |
| 12 | SOHRABI Mehdi | 69 |
| 13 | SCOTSON Miles | 76 |
| 15 | GIDICH Yevgeniy | 69 |
| 16 | SULZBERGER Bernard | 67 |
| 17 | ABERASTURI Jon | 69 |
| 20 | SCHULTING Peter | 70 |
| 21 | GUARDIOLA Salvador | 65 |
| 22 | BAJC Andi | 65 |
| 25 | HRINKOW Dominik | 61 |