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 - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LEIJEN Joost | 73 |
| 2 | BLACKGROVE Heath | 65 |
| 4 | ROOIJAKKERS Piet | 68 |
| 6 | BOUCHER David | 78 |
| 7 | MAASKANT Martijn | 76 |
| 8 | LEEZER Tom | 76 |
| 9 | VERBIST Evert | 73 |
| 10 | GILING Bas | 72 |
| 12 | KAISEN Olivier | 82 |
| 14 | SUTHERLAND Rory | 75 |
| 19 | DE MAAR Marc | 70 |
| 21 | DE KORT Koen | 69 |
| 26 | STUBBE Tom | 66 |
| 34 | MOL Wouter | 83 |