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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bárta
1
75 kgKukrle
2
73 kgOtruba
3
75 kgŤoupalík
4
65 kgBoroš
5
69 kgJakoubek
6
72 kgČerný
7
75 kgRugovac
8
69 kg
1
75 kgKukrle
2
73 kgOtruba
3
75 kgŤoupalík
4
65 kgBoroš
5
69 kgJakoubek
6
72 kgČerný
7
75 kgRugovac
8
69 kg
Weight (KG) →
Result →
75
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÁRTA Jan | 75 |
| 2 | KUKRLE Michael | 73 |
| 3 | OTRUBA Jakub | 75 |
| 4 | ŤOUPALÍK Adam | 65 |
| 5 | BOROŠ Michael | 69 |
| 6 | JAKOUBEK Tomáš | 72 |
| 7 | ČERNÝ Josef | 75 |
| 8 | RUGOVAC Denis | 69 |