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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KROON Karsten | 67 |
| 2 | NAZON Damien | 68 |
| 4 | CRETSKENS Wilfried | 75 |
| 5 | NAZON Jean-Patrick | 74 |
| 6 | ZANOTTI Marco | 70 |
| 10 | ŁUKASZEWICZ Czesław | 63 |
| 11 | VINOKOUROV Alexandre | 68 |
| 13 | SIVAKOV Alexei | 72 |
| 15 | RENIER Franck | 69 |