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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Navardauskas
1
79 kgKonovalovas
2
74 kgBagdonas
3
78 kgDžervus
4
77 kgŠiškevičius
5
80 kgŠiškevičius
6
70 kg
1
79 kgKonovalovas
2
74 kgBagdonas
3
78 kgDžervus
4
77 kgŠiškevičius
5
80 kgŠiškevičius
6
70 kg
Weight (KG) →
Result →
80
70
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARDAUSKAS Ramūnas | 79 |
| 2 | KONOVALOVAS Ignatas | 74 |
| 3 | BAGDONAS Gediminas | 78 |
| 4 | DŽERVUS Darijus | 77 |
| 5 | ŠIŠKEVIČIUS Evaldas | 80 |
| 6 | ŠIŠKEVIČIUS Paulius | 70 |