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 = 0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Raboň
1
74 kgHruška
2
62 kgAndrle
3
70 kgKadlec
5
70 kgSosenka
6
82 kgPaďour
43
59 kgKulma
48
82 kg
1
74 kgHruška
2
62 kgAndrle
3
70 kgKadlec
5
70 kgSosenka
6
82 kgPaďour
43
59 kgKulma
48
82 kg
Weight (KG) →
Result →
82
59
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RABOŇ František | 74 |
| 2 | HRUŠKA Jan | 62 |
| 3 | ANDRLE René | 70 |
| 5 | KADLEC Milan | 70 |
| 6 | SOSENKA Ondřej | 82 |
| 43 | PAĎOUR František | 59 |
| 48 | KULMA Pavel | 82 |