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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | HEUSGHEM Hector | 86 |
5 | DEFRAEYE Odiel | 67 |
6 | SCIEUR Léon | 78 |
6 | MASSON Émile | 77 |
6 | MOTTIAT Louis | 65 |
6 | BLAISE André | 72 |
6 | COOMANS Jacques | 62 |
6 | PETITJEAN Louis | 66 |
6 | VAN DAELE Joseph | 68 |
6 | BUYSSE Lucien | 68 |
6 | DEVROYE Henri | 62 |
18 | BOTTÉ Camille | 67 |
26 | EVERAERTS Pierre | 66 |
27 | ALLARD Henri | 69 |
28 | LELIAERT Maurice | 79 |