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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | KAŇKOVSKÝ Alois | 83 |
2 | SISR František | 72 |
3 | BAJC Andi | 65 |
4 | BAŠKA Erik | 74 |
6 | AVERIN Maksym | 74 |
8 | TAMOURIDIS Ioannis | 70 |
9 | KESSLER Robert | 78 |
12 | FRANZ Marcel | 62 |
15 | TUREK Daniel | 72 |
17 | RUGOVAC Denis | 69 |
20 | LICHNOVSKÝ Luděk | 76 |