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 + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVTUSHENKO Alexander | 72 |
| 2 | MESTRE Daniel | 65 |
| 3 | REIS Rafael | 72 |
| 4 | HIVERT Jonathan | 62 |
| 5 | QUINTANA Dayer | 58 |
| 6 | RODRÍGUEZ Óscar | 63 |
| 8 | RODRIGUES João | 60 |
| 9 | CATTANEO Mattia | 67 |
| 11 | SICARD Romain | 63 |
| 12 | ETXEBERRIA Víctor | 61 |