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 = 1.1 * weight - 41
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Habteab
12
61 kgLagab
14
63 kgMatombé
21
63 kgLührs
44
83 kgBalázs
53
62 kgMeiser
56
70 kg
12
61 kgLagab
14
63 kgMatombé
21
63 kgLührs
44
83 kgBalázs
53
62 kgMeiser
56
70 kg
Weight (KG) →
Result →
83
61
12
56
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | HABTEAB Yoel | 61 |
| 14 | LAGAB Azzedine | 63 |
| 21 | MATOMBÉ Hanson | 63 |
| 44 | LÜHRS Leslie | 83 |
| 53 | BALÁZS Máté | 62 |
| 56 | MEISER Philip | 70 |