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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Budziński
2
70 kgUry
3
68 kgSmit
6
72 kgÖzgür
7
75 kgKaczmarek
8
66 kgHabteab
9
61 kg
2
70 kgUry
3
68 kgSmit
6
72 kgÖzgür
7
75 kgKaczmarek
8
66 kgHabteab
9
61 kg
Weight (KG) →
Result →
75
61
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUDZIŃSKI Marcin | 70 |
| 3 | URY Noé | 68 |
| 6 | SMIT Willie | 72 |
| 7 | ÖZGÜR Batuhan | 75 |
| 8 | KACZMAREK Jakub | 66 |
| 9 | HABTEAB Yoel | 61 |