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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Konovalovas
1
74 kgBagdonas
2
78 kgDžervus
3
77 kgŠiškevičius
4
80 kgLašinis
5
69 kgŠiškevičius
6
70 kg
1
74 kgBagdonas
2
78 kgDžervus
3
77 kgŠiškevičius
4
80 kgLašinis
5
69 kgŠiškevičius
6
70 kg
Weight (KG) →
Result →
80
69
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONOVALOVAS Ignatas | 74 |
| 2 | BAGDONAS Gediminas | 78 |
| 3 | DŽERVUS Darijus | 77 |
| 4 | ŠIŠKEVIČIUS Evaldas | 80 |
| 5 | LAŠINIS Venantas | 69 |
| 6 | ŠIŠKEVIČIUS Paulius | 70 |