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 = 1 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZANDIO Xabier | 73 |
| 4 | ARRIETA José Luis | 68 |
| 6 | MORENO Daniel | 59 |
| 7 | CABELLO Francisco | 72 |
| 9 | MANCEBO Francisco | 64 |
| 10 | VALVERDE Alejandro | 61 |
| 14 | MOSQUERA Ezequiel | 65 |
| 15 | PALOMARES Adrián | 56 |
| 17 | BRUTT Pavel | 70 |
| 19 | PÉREZ Aitor | 70 |
| 20 | AZANZA Jorge | 68 |
| 21 | IGNATIEV Mikhail | 67 |
| 23 | TORRENT Carlos | 71 |
| 27 | KLIMOV Sergey | 69 |
| 45 | URTASUN Pablo | 69 |
| 46 | SEROV Alexander | 77 |