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 = -1.1 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VAN GOOLEN Jurgen | 70 |
3 | VERSTRAETEN Jan | 65 |
4 | STEEGMANS Gert | 82 |
5 | RAST Grégory | 80 |
7 | TANKINK Bram | 71 |
9 | VAN DIJK Stefan | 74 |
19 | WILLEMS Frederik | 67 |
22 | CORDES Tom | 70 |
28 | NUYENS Nick | 68 |
32 | CLERC Aurélien | 71 |
39 | DEVOLDER Stijn | 72 |
53 | MUTSAARS Ronald | 67 |
56 | WIELINGA Remmert | 68 |
57 | VENEBERG Thorwald | 75 |