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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SVORADA Ján | 76 |
| 3 | BALDATO Fabio | 60 |
| 4 | MONCASSIN Frédéric | 73 |
| 5 | HOFFMAN Tristan | 80 |
| 7 | USHAKOV Serhiy | 73 |
| 8 | JALABERT Nicolas | 68 |
| 11 | EECKHOUT Niko | 73 |
| 12 | FEYS Wim | 80 |
| 14 | AERTS Mario | 68 |
| 15 | DE JONGH Steven | 76 |
| 19 | MEIER Roland | 60 |