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 = 0.6 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 2 | VAN DER POEL Adrie | 70 |
| 3 | SERGEANT Marc | 76 |
| 7 | WAMPERS Jean-Marie | 82 |
| 12 | VANDERAERDEN Eric | 74 |
| 14 | BOMANS Carlo | 74 |
| 15 | MUSEEUW Johan | 71 |
| 18 | SOLLEVELD Gerrit | 93 |
| 24 | PIETERS Peter | 82 |