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 = -0.4 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TERPSTRA Niki | 75 |
| 2 | LANGEVELD Sebastian | 67 |
| 3 | TEN DAM Laurens | 67 |
| 4 | HEIJBOER Mathieu | 78 |
| 6 | SIEBERG Marcel | 80 |
| 9 | DEKKERS Hans | 72 |
| 10 | VAN HUMMEL Kenny | 64 |
| 26 | VEELERS Tom | 75 |
| 29 | ROOIJAKKERS Piet | 68 |
| 30 | KOZONTCHUK Dmitry | 75 |
| 46 | MOL Wouter | 83 |
| 47 | ELIJZEN Michiel | 80 |
| 48 | AERNOUTS Bart | 60 |
| 54 | DOI Yukihiro | 58 |