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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KASPERKIEWICZ Przemysław | 71 |
| 3 | SISR František | 72 |
| 4 | PIBERNIK Luka | 60 |
| 5 | VAN ROOY Kenneth | 70 |
| 7 | HEMROULLE Johan | 66 |
| 8 | TUREK Daniel | 72 |
| 9 | DE WITTE Mathias | 61 |
| 10 | LÓPEZ-CÓZAR Juan Antonio | 70 |
| 11 | STOSZ Patryk | 70 |
| 13 | HOELGAARD Markus | 74 |
| 15 | SPOKES Samuel | 63 |