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 = 0.7 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 4 | RAABE Henry | 71 |
| 5 | BONILLA José Adrián | 73 |
| 41 | ERSHOV Artur | 70 |
| 42 | SEROV Alexander | 77 |
| 54 | ROTH Ryan | 70 |
| 55 | KLIMOV Sergey | 69 |
| 65 | LACHANCE Jean-Michel | 72 |
| 70 | RODAS Manuel | 68 |
| 73 | KRASNOV Leonid | 65 |