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 = 1.7 * weight - 96
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Lagab
2
63 kgHabteab
3
61 kgBalázs
17
62 kgMeiser
40
70 kgLührs
41
83 kg
2
63 kgHabteab
3
61 kgBalázs
17
62 kgMeiser
40
70 kgLührs
41
83 kg
Weight (KG) →
Result →
83
61
2
41
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAGAB Azzedine | 63 |
| 3 | HABTEAB Yoel | 61 |
| 17 | BALÁZS Máté | 62 |
| 40 | MEISER Philip | 70 |
| 41 | LÜHRS Leslie | 83 |