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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DORN Vinzent | 74 |
| 3 | VAN BREUSSEGEM Elias | 68 |
| 5 | ARASHIRO Yudai | 65 |
| 6 | MATTHEIS Oliver | 66 |
| 9 | D'HEYGERE Gil | 76 |
| 10 | MAGOSAKI Daiki | 62 |
| 11 | YIĞIT Tahir | 70 |
| 12 | QUINTERO Leonel | 67 |
| 14 | BELLENS Jarno | 65 |