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 = 0.9 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Lagab
1
63 kgHabteab
2
61 kgMatombé
21
63 kgLührs
28
83 kgBalázs
31
62 kgMeiser
38
70 kg
1
63 kgHabteab
2
61 kgMatombé
21
63 kgLührs
28
83 kgBalázs
31
62 kgMeiser
38
70 kg
Weight (KG) →
Result →
83
61
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGAB Azzedine | 63 |
| 2 | HABTEAB Yoel | 61 |
| 21 | MATOMBÉ Hanson | 63 |
| 28 | LÜHRS Leslie | 83 |
| 31 | BALÁZS Máté | 62 |
| 38 | MEISER Philip | 70 |