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 = -1.2 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
8 | ELLIOTT Malcolm | 76 |
15 | MUJIKA Jokin | 73 |
19 | BARONCHELLI Gianbattista | 72 |
23 | TOLHOEK Patrick | 63 |
36 | SKIBBY Jesper | 70 |
37 | HOLM SØRENSEN Brian | 77 |
42 | MURGUIALDAY Javier | 58 |
43 | DEMOL Dirk | 72 |
60 | OVANDO Rolando | 66 |
75 | PRADO Vicente | 69 |