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 - 13
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLO Michele | 63 |
| 4 | POZZO Mattia | 68 |
| 25 | UBETO Miguel Armando | 60 |
| 37 | GODOY Yonder | 64 |
| 48 | RODRÍGUEZ Jackson | 58 |
| 49 | GÁLVIZ Carlos Johan | 65 |
| 51 | CHACÓN José Isidro | 63 |
| 52 | PUJOL Óscar | 58 |
| 58 | MONSALVE Yonathan | 62 |
| 59 | GIL MARTINEZ Tomas Aurelio | 60 |
| 68 | CÁRDENAS Félix Rafael | 59 |
| 70 | OCHOA Carlos José | 62 |
| 77 | DE NEGRI Pier Paolo | 61 |
| 84 | KERS Koos Jeroen | 71 |
| 87 | HULSMANS Kevin | 75 |
| 101 | MILETTA Luigi | 63 |