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 = -1.2 * weight + 119
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LACHANCE Jean-Michel | 72 |
| 13 | SEROV Alexander | 77 |
| 15 | BONILLA José Adrián | 73 |
| 16 | ERSHOV Artur | 70 |
| 24 | ROJAS Juan Carlos | 58 |
| 53 | ROTH Ryan | 70 |
| 55 | KRASNOV Leonid | 65 |
| 59 | RODAS Manuel | 68 |
| 68 | KLIMOV Sergey | 69 |
| 72 | RAABE Henry | 71 |