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 = 2.7 * weight - 141
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | HENAO Sergio | 61 |
| 11 | OCHOA Carlos José | 62 |
| 12 | MAYA Carlos Alberto | 58 |
| 16 | RAABE Henry | 71 |
| 22 | SERPA José Rodolfo | 64 |
| 25 | CHACÓN José Isidro | 63 |
| 31 | GUAMÁ Byron | 61 |
| 33 | PEDRAZA Wálter Fernando | 58 |
| 54 | BULGARELLI Otavio | 69 |
| 59 | RAMIREZ Federico | 71 |
| 67 | SEPULVEDA Luis Fernando | 66 |
| 83 | QUADRI Hernandes | 67 |