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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Adler
1
62 kgHagen
2
74 kgTörök
3
68 kgPodobas
6
70 kgOlizarenko
10
72 kg
1
62 kgHagen
2
74 kgTörök
3
68 kgPodobas
6
70 kgOlizarenko
10
72 kg
Weight (KG) →
Result →
74
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ADLER Egon | 62 |
| 2 | HAGEN Erich | 74 |
| 3 | TÖRÖK Győző | 68 |
| 6 | PODOBAS Wiesław | 70 |
| 10 | OLIZARENKO Anatoly | 72 |