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 = -0.5 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | STEEGMANS Gert | 82 |
5 | DE WEERT Kevin | 70 |
11 | DE FAUW Dimitri | 77 |
13 | DE WILDE Sjef | 74 |
15 | DEKKERS Hans | 72 |
19 | HOVELIJNCK Kurt | 75 |
27 | VAN HUMMEL Kenny | 64 |
29 | LISABETH Kenny | 75 |
36 | VANSUMMEREN Johan | 79 |
41 | DE VOCHT Wim | 78 |
47 | ROSSELER Sébastien | 78 |
49 | AERNOUTS Bart | 60 |
67 | ELIJZEN Michiel | 80 |
72 | BARBÉ Koen | 75 |
78 | HABEAUX Grégory | 68 |