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 + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kvasina
1
72 kgRogina
2
70 kgSapa
4
82 kgKišerlovski
6
72 kgSaramotins
12
75 kgKönig
16
62 kg
1
72 kgRogina
2
70 kgSapa
4
82 kgKišerlovski
6
72 kgSaramotins
12
75 kgKönig
16
62 kg
Weight (KG) →
Result →
82
62
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVASINA Matija | 72 |
| 2 | ROGINA Radoslav | 70 |
| 4 | SAPA Marcin | 82 |
| 6 | KIŠERLOVSKI Robert | 72 |
| 12 | SARAMOTINS Aleksejs | 75 |
| 16 | KÖNIG Leopold | 62 |