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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sosenka
1
82 kgLiese
2
75 kgPrzydział
3
80 kgChmielewski
4
72 kgKonečný
5
67 kgKohut
7
65 kgLupeikis
8
80 kg
1
82 kgLiese
2
75 kgPrzydział
3
80 kgChmielewski
4
72 kgKonečný
5
67 kgKohut
7
65 kgLupeikis
8
80 kg
Weight (KG) →
Result →
82
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOSENKA Ondřej | 82 |
| 2 | LIESE Thomas | 75 |
| 3 | PRZYDZIAŁ Piotr | 80 |
| 4 | CHMIELEWSKI Piotr | 72 |
| 5 | KONEČNÝ Tomáš | 67 |
| 7 | KOHUT Sławomir | 65 |
| 8 | LUPEIKIS Remigius | 80 |