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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BEKAERT Yentl | 62 |
| 7 | RAUGEL Antoine | 70 |
| 10 | BLUMMEL Robin | 76 |
| 11 | VERBOOM Minne | 84 |
| 12 | LANGE Colby | 72 |
| 16 | KAMP Ryan | 70 |
| 17 | GOEMAN Andreas | 64 |
| 23 | ROBINSON Oliver | 74 |
| 26 | STEIGNER Kilian | 62 |