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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EEFTING-BLOEM Roy | 75 |
| 2 | GROVES Kaden | 76 |
| 4 | SLIK Ivar | 71 |
| 5 | KENNETT Dylan | 75 |
| 6 | STEDMAN Maximilian | 54 |
| 11 | PAVLIČ Marko | 65 |
| 12 | MONSALVE Yonathan | 62 |
| 15 | BJERKESTRAND HAUGSVÆR Sindre | 75 |