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 = -1.1 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VEENSTRA Wiebren | 70 |
| 5 | MONCASSIN Frédéric | 73 |
| 10 | SIMON François | 70 |
| 11 | BROCHARD Laurent | 68 |
| 12 | VANDERAERDEN Eric | 74 |
| 13 | SKIBBY Jesper | 70 |
| 15 | ZABEL Erik | 69 |
| 17 | JALABERT Laurent | 66 |
| 19 | FARAZIJN Peter | 69 |