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 = -0.6 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLI Wladimir | 64 |
| 2 | TONKOV Pavel | 70 |
| 5 | NOÈ Andrea | 65 |
| 6 | FORCONI Riccardo | 71 |
| 9 | COLOMBO Gabriele | 70 |
| 10 | BERZIN Evgeni | 64 |
| 12 | PIEPOLI Leonardo | 54 |
| 14 | CHIAPPUCCI Claudio | 67 |
| 16 | FRIGO Dario | 66 |
| 17 | UGRUMOV Piotr | 58 |
| 18 | FRATTINI Francesco | 60 |