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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | QUINTANA Nairo | 58 |
| 2 | PEDRERO Antonio | 60 |
| 3 | CARRETERO Héctor | 67 |
| 4 | RUBIO Einer | 56 |
| 5 | ADRIÀ Roger | 64 |
| 6 | LATOUR Pierre | 66 |
| 8 | OSORIO Alejandro | 62 |
| 9 | ZAKARIN Ilnur | 67 |
| 10 | OLIVEIRA Nelson | 67 |
| 11 | DE LA PARTE Víctor | 64 |
| 12 | DÍAZ José Manuel | 64 |
| 13 | SCARONI Christian | 63 |
| 14 | AMEZQUETA Julen | 63 |
| 16 | ITURRIA Mikel | 69 |
| 17 | GARCÍA Jhojan | 55 |
| 18 | ROSA Diego | 65 |
| 19 | MATÉ Luis Ángel | 68 |