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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MALUCELLI Matteo | 68 |
| 4 | RIVERA Kevin | 56 |
| 6 | SOSA Iván Ramiro | 52 |
| 10 | MONSALVE Yonathan | 62 |
| 11 | CHIRICO Luca | 58 |
| 12 | PARRA Heiner Rodrigo | 51 |
| 23 | SERPA José Rodolfo | 64 |
| 27 | BENFATTO Marco | 71 |
| 28 | RUIZ Diego Fernando | 58 |
| 32 | AULAR Orluis | 65 |
| 38 | UBETO Miguel Armando | 60 |