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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BERLIN Antoine | 57 |
| 4 | DORN Vinzent | 74 |
| 12 | DOUBEY Fabien | 62 |
| 14 | MULUBRHAN Henok | 60 |
| 15 | MUHOZA Eric | 62 |
| 16 | LOROT Lawrence | 60 |
| 19 | HABTEAB Yoel | 61 |
| 21 | GILMORE Brady | 70 |
| 22 | BUSH Jacob | 58 |