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 - 16
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | RAMÍREZ Javier | 61 |
| 11 | SEABRA Renato | 67 |
| 14 | OCHOA Carlos José | 62 |
| 36 | ROSENDO Jesús | 66 |
| 39 | RODRÍGUEZ Jackson | 58 |
| 44 | SERPA José Rodolfo | 64 |
| 46 | BELLETTI Manuel | 72 |
| 47 | TONDO Xavier | 68 |
| 63 | BRUNETTA Guillermo | 97 |
| 75 | VICIOSO Ángel | 60 |
| 79 | GAVAZZI Mattia | 70 |
| 88 | MÉDICI Matías | 70 |
| 92 | GILI Ignacio | 74 |
| 101 | NAZARET Magno | 65 |
| 110 | NICÁCIO Pedro | 72 |
| 119 | CELLI Luca | 69 |