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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DONATI Massimo | 75 |
| 3 | MAZZANTI Luca | 64 |
| 4 | PERON Andrea | 70 |
| 10 | FERRARI Diego | 74 |
| 12 | ORTENZI Gian Mario | 78 |
| 15 | BALDATO Fabio | 60 |
| 16 | SIMEONI Filippo | 68 |
| 17 | KADLEC Milan | 70 |
| 19 | RIGHI Daniele | 70 |
| 29 | MASCIARELLI Simone | 63 |
| 30 | AXELSSON Niklas | 73 |