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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BILLE Gaëtan | 67 |
| 2 | PAUWELS Kevin | 60 |
| 3 | KAMP Alexander | 74 |
| 5 | DE LA PARTE Víctor | 64 |
| 7 | DAVIES Scott | 66 |
| 8 | MEISEN Marcel | 62 |
| 9 | OCKELOEN Jasper | 66 |
| 10 | CORNU Jérémy | 66 |
| 11 | CALMEJANE Lilian | 70 |
| 12 | CECCHIN Alberto | 70 |
| 13 | DOULL Owain | 71 |
| 15 | VANTHOURENHOUT Dieter | 64 |