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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARUSO Damiano | 67 |
| 3 | FELLINE Fabio | 68 |
| 4 | SHPILEVSKY Boris | 78 |
| 5 | SELLA Emanuele | 54 |
| 6 | BASSO Ivan | 70 |
| 7 | KUSZTOR Péter | 61 |
| 8 | EUSER Lucas | 56 |
| 9 | ROSA Diego | 65 |
| 10 | CHALAPUD Robinson | 63 |
| 11 | CUNEGO Damiano | 58 |
| 12 | QUINTERO Carlos | 63 |
| 13 | PIRAZZI Stefano | 62 |
| 14 | ANTUNES Amaro | 58 |
| 15 | ULISSI Diego | 63 |
| 16 | PONZI Simone | 63 |