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 + 45
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | CHACÓN José Isidro | 63 |
| 24 | RAABE Henry | 71 |
| 33 | SERPA José Rodolfo | 64 |
| 35 | HENAO Sergio | 61 |
| 37 | GUAMÁ Byron | 61 |
| 41 | PEDRAZA Wálter Fernando | 58 |
| 76 | OCHOA Carlos José | 62 |
| 77 | BULGARELLI Otavio | 69 |
| 80 | DUARTE Fabio | 55 |
| 83 | RAMIREZ Federico | 71 |
| 91 | MAYA Carlos Alberto | 58 |
| 93 | QUADRI Hernandes | 67 |
| 94 | SEPULVEDA Luis Fernando | 66 |