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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONYSHEV Dmitry | 77 |
| 2 | ARRIETA José Luis | 68 |
| 3 | BELLI Wladimir | 64 |
| 4 | LUTTENBERGER Peter | 60 |
| 5 | SIMON François | 70 |
| 6 | CASAGRANDE Francesco | 64 |
| 7 | HAMBURGER Bo | 58 |
| 8 | GONZÁLEZ Santos | 70 |
| 10 | CHANTEUR Pascal | 62 |