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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REINDERS Elmar | 78.1 |
| 2 | STOSZ Patryk | 70 |
| 3 | LAMPERTI Luke | 74 |
| 4 | NEUMAN Dominik | 72 |
| 7 | PAULUS Milan | 62 |
| 8 | REINDERINK Pepijn | 67 |
| 9 | GERMANI Lorenzo | 62 |
| 11 | ONLEY Oscar | 62 |
| 12 | ERIKSSON Lucas | 64 |
| 14 | PATERSKI Maciej | 73 |