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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
König
1
62 kgBárta
2
75 kgVakoč
3
68 kgČerný
5
75 kgHirt
7
62 kgKaňkovský
10
83 kgSisr
15
72 kg
1
62 kgBárta
2
75 kgVakoč
3
68 kgČerný
5
75 kgHirt
7
62 kgKaňkovský
10
83 kgSisr
15
72 kg
Weight (KG) →
Result →
83
62
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÖNIG Leopold | 62 |
| 2 | BÁRTA Jan | 75 |
| 3 | VAKOČ Petr | 68 |
| 5 | ČERNÝ Josef | 75 |
| 7 | HIRT Jan | 62 |
| 10 | KAŇKOVSKÝ Alois | 83 |
| 15 | SISR František | 72 |