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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE CLERCQ Mario | 66 |
| 2 | PLANCKAERT Jo | 70 |
| 4 | CAPELLE Christophe | 73 |
| 7 | SYPYTKOWSKI Andrzej | 76 |
| 13 | BOLAY Sylvain | 68 |
| 14 | CORVERS Frank | 77 |
| 15 | GAUMONT Philippe | 77 |
| 17 | KIRSIPUU Jaan | 80 |
| 32 | MENGIN Christophe | 68 |