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 = -1.4 * weight + 114
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Navardauskas
1
79 kgBagdonas
2
78 kgKruopis
3
80 kgŠiškevičius
5
80 kgDžervus
6
77 kgJuodvalkis
13
73 kg
1
79 kgBagdonas
2
78 kgKruopis
3
80 kgŠiškevičius
5
80 kgDžervus
6
77 kgJuodvalkis
13
73 kg
Weight (KG) →
Result →
80
73
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARDAUSKAS Ramūnas | 79 |
| 2 | BAGDONAS Gediminas | 78 |
| 3 | KRUOPIS Aidis | 80 |
| 5 | ŠIŠKEVIČIUS Evaldas | 80 |
| 6 | DŽERVUS Darijus | 77 |
| 13 | JUODVALKIS Egidijus | 73 |