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 = 0.8 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | PLANCKAERT Eddy | 69 |
| 8 | CIPOLLINI Mario | 77 |
| 14 | ANDREU Frankie | 77 |
| 19 | LIENHART Johann | 66 |
| 23 | DEMOL Dirk | 72 |
| 29 | CORDES Tom | 70 |
| 34 | BOMANS Carlo | 74 |
| 36 | MUSEEUW Johan | 71 |
| 37 | SERGEANT Marc | 76 |
| 47 | FARAZIJN Peter | 69 |
| 49 | HOSTE Frank | 76 |
| 50 | PEETERS Wilfried | 76 |
| 60 | VANDERAERDEN Eric | 74 |