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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN RYSSELBERGHE Bernard | 78 |
| 2 | SCHEPERS Alfons | 80 |
| 3 | DELOOR Alfons | 72 |
| 5 | CAMUSSO Francesco | 66 |
| 7 | MAUCLAIR Joseph | 67 |
| 9 | HARDIQUEST Louis | 72 |
| 10 | BERNARDONI Oreste | 65 |