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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kruopis
1
80 kgNavardauskas
2
79 kgJuodvalkis
3
73 kgŠiškevičius
4
80 kgBagdonas
5
78 kgŠiškevičius
7
70 kg
1
80 kgNavardauskas
2
79 kgJuodvalkis
3
73 kgŠiškevičius
4
80 kgBagdonas
5
78 kgŠiškevičius
7
70 kg
Weight (KG) →
Result →
80
70
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRUOPIS Aidis | 80 |
| 2 | NAVARDAUSKAS Ramūnas | 79 |
| 3 | JUODVALKIS Egidijus | 73 |
| 4 | ŠIŠKEVIČIUS Evaldas | 80 |
| 5 | BAGDONAS Gediminas | 78 |
| 7 | ŠIŠKEVIČIUS Paulius | 70 |