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 = 2.6 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | QUISHPE Carlos Eduardo | 70 |
| 6 | ÁLVAREZ Miguel Luis | 60 |
| 9 | RODAS Manuel | 68 |
| 10 | GUAMÁ Byron | 61 |
| 18 | CARAPAZ Richard | 62 |
| 36 | ARSENO Alex | 71 |
| 51 | BONILLA José Adrián | 73 |
| 52 | RAGONESSI José | 67 |
| 53 | PANIZO Gregolry | 72 |