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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wackermann
1
68 kgDžervus
3
77 kgNouisri
4
74 kgOkubamariam
5
60 kgAreruya
7
74 kgŠiškevičius
11
70 kgVaitkus
16
75 kg
1
68 kgDžervus
3
77 kgNouisri
4
74 kgOkubamariam
5
60 kgAreruya
7
74 kgŠiškevičius
11
70 kgVaitkus
16
75 kg
Weight (KG) →
Result →
77
60
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WACKERMANN Luca | 68 |
| 3 | DŽERVUS Darijus | 77 |
| 4 | NOUISRI Ali | 74 |
| 5 | OKUBAMARIAM Tesfom | 60 |
| 7 | ARERUYA Joseph | 74 |
| 11 | ŠIŠKEVIČIUS Paulius | 70 |
| 16 | VAITKUS Tomas | 75 |