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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADOUAS Laurent | 70 |
| 2 | WESEMANN Steffen | 72 |
| 3 | SILOVS Juris | 79 |
| 4 | MCGRORY Scott | 73 |
| 6 | VAN HEESWIJK Max | 73 |
| 7 | DIETZ Bert | 69 |
| 9 | BOOGERD Michael | 62 |
| 10 | BLAUDZUN Michael | 66 |