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 = -0.7 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSTE Frank | 76 |
| 3 | GLAUS Gilbert | 67 |
| 5 | SKIBBY Jesper | 70 |
| 10 | DEMIERRE Serge | 70 |
| 28 | GIANETTI Mauro | 62 |
| 31 | ROMINGER Tony | 65 |
| 47 | ROCHE Stephen | 74 |
| 50 | IMBODEN Heinz | 70 |
| 52 | BREUKINK Erik | 70 |
| 54 | RICHARD Pascal | 67 |