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 + 27
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Carlos | 67 |
| 3 | AYUSO Juan | 65 |
| 5 | GARCÍA PIERNA Raúl | 67 |
| 8 | ARRIETA Igor | 64 |
| 14 | GUTIÉRREZ Jorge | 58 |
| 25 | ROSAL Juanjo | 70 |
| 35 | DÍAZ Alex | 62 |
| 48 | GIL Jon | 55 |
| 54 | ARRIOLA-BENGOA Julen | 52 |
| 57 | URIARTE Diego | 67 |
| 58 | GEERLINGS Sergio | 72 |
| 60 | URIA Pablo | 58 |
| 61 | CASTRILLO Pablo | 74 |
| 73 | ROJAS Brandon Alejandro | 64 |
| 87 | AZNAR Unai | 68 |
| 88 | MEDINA José Luis | 66 |