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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bagdonas
1
78 kgNavardauskas
2
79 kgŠiškevičius
3
80 kgRojus
4
83 kgDžervus
5
77 kgBeniušis
6
85 kgLašinis
7
69 kg
1
78 kgNavardauskas
2
79 kgŠiškevičius
3
80 kgRojus
4
83 kgDžervus
5
77 kgBeniušis
6
85 kgLašinis
7
69 kg
Weight (KG) →
Result →
85
69
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGDONAS Gediminas | 78 |
| 2 | NAVARDAUSKAS Ramūnas | 79 |
| 3 | ŠIŠKEVIČIUS Evaldas | 80 |
| 4 | ROJUS Adomaitis | 83 |
| 5 | DŽERVUS Darijus | 77 |
| 6 | BENIUŠIS Justas | 85 |
| 7 | LAŠINIS Venantas | 69 |