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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | QUINTANA Nairo | 58 |
| 2 | PEDRERO Antonio | 60 |
| 3 | LATOUR Pierre | 66 |
| 5 | OSORIO Alejandro | 62 |
| 6 | SCARONI Christian | 63 |
| 7 | ADRIÀ Roger | 64 |
| 8 | OLIVEIRA Nelson | 67 |
| 9 | RUBIO Einer | 56 |
| 10 | AMEZQUETA Julen | 63 |
| 11 | ZAKARIN Ilnur | 67 |
| 13 | DE LA PARTE Víctor | 64 |
| 14 | GARCÍA Jhojan | 55 |
| 15 | MATÉ Luis Ángel | 68 |