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 = 0.6 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RANGEL Hector Hugo | 63 |
| 4 | GUTIÉRREZ David | 60 |
| 7 | GONÇALVES José | 70 |
| 10 | BELTRÁN Edward | 59 |
| 17 | BULGARELLI Otavio | 69 |
| 21 | FERNÁNDEZ Delio | 69 |
| 27 | PANIZO Gregolry | 72 |
| 31 | HAGA Chad | 71.5 |
| 33 | RINCON DIAZ Wilson Ramiro | 61 |
| 41 | RODAS Manuel | 68 |
| 44 | SILVA Daniel | 59 |
| 46 | BOLIVAR Isaac | 64 |
| 55 | NAZARET Magno | 65 |
| 62 | GONÇALVES Domingos | 70 |