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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARRIETA José Luis | 68 |
| 2 | BOTERO Santiago | 75 |
| 3 | ZARRABEITIA Mikel | 63 |
| 4 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 5 | TORRENT Carlos | 71 |
| 6 | ONGARATO Alberto | 69 |
| 7 | SIVAKOV Alexei | 72 |
| 8 | JUFRÉ Josep | 65 |
| 9 | BAYARRI Gonzalo | 67 |
| 11 | SEVILLA Óscar | 62 |
| 12 | BOTCHAROV Alexandre | 54 |
| 13 | BELOKI Joseba | 68 |
| 15 | NOVAL Benjamín | 71 |