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 + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNT Jeremy | 76 |
| 2 | ZABEL Erik | 69 |
| 3 | SMETANINE Serguei | 69 |
| 4 | CIPOLLINI Mario | 77 |
| 7 | DE WAELE Fabien | 62 |
| 8 | MAGNIEN Emmanuel | 68 |
| 9 | CAMENZIND Oscar | 62 |
| 10 | ETXEBARRIA Unai | 68 |