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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Okubamariam
4
60 kgDžervus
6
77 kgAreruya
8
74 kgŠiškevičius
9
70 kgVaitkus
11
75 kgAfewerki
20
63 kg
4
60 kgDžervus
6
77 kgAreruya
8
74 kgŠiškevičius
9
70 kgVaitkus
11
75 kgAfewerki
20
63 kg
Weight (KG) →
Result →
77
60
4
20
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OKUBAMARIAM Tesfom | 60 |
| 6 | DŽERVUS Darijus | 77 |
| 8 | ARERUYA Joseph | 74 |
| 9 | ŠIŠKEVIČIUS Paulius | 70 |
| 11 | VAITKUS Tomas | 75 |
| 20 | AFEWERKI Elyas | 63 |