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 = 22.7 * weight - 846
This means that on average for every extra kilogram weight a rider loses 22.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SKIBBY Jesper | 70 |
| 3 | ELLI Alberto | 71 |
| 5 | MUSEEUW Johan | 71 |
| 990 | NIJDAM Jelle | 70 |
| 990 | CENGHIALTA Bruno | 73 |
| 990 | JÄRMANN Rolf | 73 |
| 990 | MOREAU Francis | 77 |
| 990 | ANDREU Frankie | 77 |
| 990 | BALLERINI Franco | 78 |
| 990 | SØRENSEN Rolf | 70 |
| 990 | RODRIGUES Orlando Sergio | 68 |
| 990 | VERSTREPEN Johan | 66 |
| 990 | KOERTS Jans | 78 |
| 990 | MADIOT Marc | 68 |
| 990 | VANDERAERDEN Eric | 74 |