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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | SCHMITZ Bram | 77 |
3 | DEVOLDER Stijn | 72 |
4 | VERHEYEN Geert | 68 |
5 | SIJMENS Nico | 69 |
6 | VANSUMMEREN Johan | 79 |
7 | COENEN Johan | 67 |
8 | LÖWIK Gerben | 72 |
9 | GILBERT Philippe | 75 |
10 | BRUYLANDTS Dave | 63 |
13 | LHUILLIER Régis | 69 |