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 - 49
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PLANCKAERT Jo | 70 |
| 4 | BEECKMAN Koen | 66 |
| 5 | MORIN Anthony | 79 |
| 7 | DIERCKXSENS Ludo | 71 |
| 8 | MARICHAL Thierry | 72 |
| 9 | FARAZIJN Peter | 69 |
| 10 | FRASER Gordon | 71 |
| 12 | AUGER Ludovic | 78 |
| 15 | EECKHOUT Niko | 73 |
| 17 | FEYS Wim | 80 |
| 24 | OMLOOP Geert | 78 |