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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUSSLER Heinrich | 74 |
| 2 | BAKELANTS Jan | 67 |
| 3 | FRÖHLINGER Johannes | 62 |
| 4 | DE GENDT Thomas | 73 |
| 5 | MOREAU Christophe | 71 |
| 6 | SINKEWITZ Patrik | 63 |
| 7 | GONZALO Eduardo | 66 |
| 8 | VELITS Peter | 63 |
| 9 | VANSPEYBROUCK Pieter | 76 |
| 10 | WROLICH Peter | 68 |
| 11 | MATÉ Luis Ángel | 68 |
| 12 | DE WAELE Bert | 71 |
| 19 | FEILLU Brice | 69 |
| 20 | WEISSINGER René | 74 |