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 = 0.2 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLETTI Manuel | 72 |
| 5 | MONSALVE Yonathan | 62 |
| 6 | SERPA José Rodolfo | 64 |
| 7 | RODRÍGUEZ Jackson | 58 |
| 10 | BONILLA José Adrián | 73 |
| 11 | CHACÓN José Isidro | 63 |
| 13 | RAABE Henry | 71 |
| 21 | MAYA Carlos Alberto | 58 |
| 23 | PARRA Iván Ramiro | 62 |
| 25 | BERNUCCI Lorenzo | 72 |
| 41 | ARSENO Alex | 71 |
| 42 | HOOGERLAND Johnny | 65 |
| 47 | GÁLVIZ Carlos Johan | 65 |
| 50 | BULGARELLI Otavio | 69 |
| 51 | OCHOA Carlos José | 62 |
| 55 | RAMIREZ Federico | 71 |
| 58 | FIORILLI Tiago | 63 |