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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAUREGUI Quentin | 60 |
| 2 | KVASINA Matija | 72 |
| 5 | LEDANOIS Kévin | 67 |
| 6 | WERDA Maximilian | 66 |
| 7 | BALDO Nicolas | 73 |
| 9 | GOLČER Jure | 66.5 |
| 11 | DERNIES Tom | 68 |
| 12 | KONRAD Patrick | 64 |
| 13 | EVRARD Laurent | 65 |
| 14 | MOLARD Rudy | 62 |
| 15 | OOMEN Sam | 65 |
| 16 | STASSEN Julien | 66 |