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 = 1.1 * weight - 34
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CHIRICO Luca | 58 |
| 8 | MALUCELLI Matteo | 68 |
| 9 | RUIZ Diego Fernando | 58 |
| 16 | AULAR Orluis | 65 |
| 23 | MONSALVE Yonathan | 62 |
| 24 | RIVERA Kevin | 56 |
| 29 | PARRA Heiner Rodrigo | 51 |
| 35 | SOSA Iván Ramiro | 52 |
| 43 | UBETO Miguel Armando | 60 |
| 45 | BENFATTO Marco | 71 |
| 60 | SERPA José Rodolfo | 64 |
| 84 | QUINTERO Leonel | 67 |