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 = 1.7 * weight - 98
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROOIJAKKERS Piet | 68 |
| 8 | SCHEP Peter | 80 |
| 12 | GOESINNEN Floris | 75 |
| 14 | VAN LEIJEN Joost | 73 |
| 15 | MOL Wouter | 83 |
| 21 | DE MAAR Marc | 70 |
| 28 | DUIJN Huub | 73 |
| 30 | VEELERS Tom | 75 |
| 42 | HEIJBOER Mathieu | 78 |
| 45 | TERPSTRA Niki | 75 |
| 54 | MENZIES Karl | 86 |
| 69 | SHPILEVSKY Boris | 78 |