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 = 2.2 * weight - 125
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Lagab
3
63 kgHabteab
4
61 kgBalázs
18
62 kgMeiser
46
70 kgLührs
52
83 kg
3
63 kgHabteab
4
61 kgBalázs
18
62 kgMeiser
46
70 kgLührs
52
83 kg
Weight (KG) →
Result →
83
61
3
52
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LAGAB Azzedine | 63 |
| 4 | HABTEAB Yoel | 61 |
| 18 | BALÁZS Máté | 62 |
| 46 | MEISER Philip | 70 |
| 52 | LÜHRS Leslie | 83 |