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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORJUELA Fernando | 60 |
| 2 | DUARTE Fabio | 55 |
| 4 | CARAPAZ Richard | 62 |
| 5 | CAICEDO Jonathan Klever | 62 |
| 6 | AGUIRRE Hernán Ricardo | 55 |
| 7 | MESTRE Ricardo | 58 |
| 8 | FERNÁNDEZ Rubén | 60 |
| 9 | ZABALA Josu | 61 |
| 10 | CHALAPUD Robinson | 63 |
| 11 | VINHAS Rui | 59 |
| 12 | EARLE Nathan | 70 |
| 13 | PEDRERO Antonio | 60 |
| 14 | EVTUSHENKO Alexander | 72 |
| 16 | BIZKARRA Mikel | 53 |
| 17 | RODRIGUES João | 60 |