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 = 1.4 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CHIRICO Luca | 58 |
| 20 | GÁLVIZ Carlos Johan | 65 |
| 21 | UBETO Miguel Armando | 60 |
| 22 | AULAR Orluis | 65 |
| 23 | MONSALVE Yonathan | 62 |
| 28 | RIVERA Kevin | 56 |
| 30 | QUINTERO Leonel | 67 |
| 42 | SOSA Iván Ramiro | 52 |
| 46 | RUIZ Diego Fernando | 58 |
| 47 | PARRA Heiner Rodrigo | 51 |
| 65 | SERPA José Rodolfo | 64 |
| 81 | BENFATTO Marco | 71 |
| 82 | MALUCELLI Matteo | 68 |