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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bommel
3
75 kgKomar
6
73 kgZargari
11
62 kgLisowicz
16
85 kgSapa
19
82 kg
3
75 kgKomar
6
73 kgZargari
11
62 kgLisowicz
16
85 kgSapa
19
82 kg
Weight (KG) →
Result →
85
62
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOMMEL Henning | 75 |
| 6 | KOMAR Mateusz | 73 |
| 11 | ZARGARI Amir | 62 |
| 16 | LISOWICZ Tomasz | 85 |
| 19 | SAPA Marcin | 82 |