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 = -0.9 * weight + 79
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | VAN GOOLEN Jurgen | 70 |
3 | KASHECHKIN Andrey | 70 |
4 | STEEGMANS Gert | 82 |
6 | SIJMENS Nico | 69 |
11 | WILLEMS Frederik | 67 |
18 | SOUTHAM Tom | 69 |
21 | PORTAL Nicolas | 70 |
22 | STUBBE Tom | 66 |
25 | DEKKERS Hans | 72 |
27 | DOCKX Bart | 64 |