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 - 49
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠUMPÍK Pavel | 63 |
| 2 | FIETZKE Paul | 60 |
| 4 | ZAHÁLKA Štěpán | 69 |
| 5 | PEŠEK Adam | 67 |
| 7 | KRZYŚKÓW Dominik | 63 |
| 10 | GRUPP Louis | 67 |
| 18 | REITZ Braden | 57 |
| 29 | STRYJEWSKI Piotr | 69 |
| 36 | VAĽO Roman | 70 |
| 37 | QUINT Antoine | 75 |
| 54 | PATRAS Jakub | 69 |
| 59 | MARKOVIC Gavrilo | 75 |
| 83 | WRONA Szymon | 67 |
| 84 | LUKIĆ Leon | 60 |