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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Kohut
2
65 kgMazur
3
73 kgBrożyna
4
65 kgPrzydział
5
80 kgVaitkus
9
75 kgKrupa
13
74 kgPawlak
14
73 kgWacker
15
65 kg
2
65 kgMazur
3
73 kgBrożyna
4
65 kgPrzydział
5
80 kgVaitkus
9
75 kgKrupa
13
74 kgPawlak
14
73 kgWacker
15
65 kg
Weight (KG) →
Result →
80
65
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOHUT Sławomir | 65 |
| 3 | MAZUR Peter | 73 |
| 4 | BROŻYNA Tomasz | 65 |
| 5 | PRZYDZIAŁ Piotr | 80 |
| 9 | VAITKUS Tomas | 75 |
| 13 | KRUPA Dawid | 74 |
| 14 | PAWLAK Wojciech | 73 |
| 15 | WACKER Eugen | 65 |