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 + 109
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | ERSHOV Artur | 70 |
8 | LACHANCE Jean-Michel | 72 |
14 | RAABE Henry | 71 |
19 | BONILLA José Adrián | 73 |
20 | ROJAS Juan Carlos | 58 |
25 | ROTH Ryan | 70 |
28 | SEROV Alexander | 77 |
29 | KLIMOV Sergey | 69 |
66 | RODAS Manuel | 68 |
70 | KRASNOV Leonid | 65 |