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 = 4.2 * weight - 242
This means that on average for every extra kilogram weight a rider loses 4.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 4 | RODRÍGUEZ Jackson | 58 |
| 5 | UBETO Miguel Armando | 60 |
| 7 | CARUSO Damiano | 67 |
| 8 | CHACÓN José Isidro | 63 |
| 15 | OCHOA Carlos José | 62 |
| 20 | KERS Koos Jeroen | 71 |
| 22 | MAYA Carlos Alberto | 58 |
| 31 | GIL MARTINEZ Tomas Aurelio | 60 |
| 90 | ČANECKÝ Marek | 72 |
| 96 | GYUROV Spas | 75 |