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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULLAIGH Gabriel | 78 |
| 2 | PAVLIČ Marko | 65 |
| 3 | TUREK Daniel | 72 |
| 4 | CHAVES German Enrique | 60 |
| 5 | KOROŠEC Rok | 75 |
| 6 | SISR František | 72 |
| 8 | KAMP Alexander | 74 |
| 9 | MÜHLBERGER Gregor | 64 |
| 10 | VAN ROOY Kenneth | 70 |
| 11 | STOSZ Patryk | 70 |
| 12 | GABBURO Davide | 63 |
| 13 | KOCH Jonas | 75 |
| 14 | MOSCON Gianni | 71 |