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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bagdonas
1
78 kgNavardauskas
2
79 kgŠiškevičius
3
80 kgDžervus
4
77 kgŠiškevičius
6
70 kg
1
78 kgNavardauskas
2
79 kgŠiškevičius
3
80 kgDžervus
4
77 kgŠiškevičius
6
70 kg
Weight (KG) →
Result →
80
70
1
6
# | Rider | Weight (KG) |
---|---|---|
1 | BAGDONAS Gediminas | 78 |
2 | NAVARDAUSKAS Ramūnas | 79 |
3 | ŠIŠKEVIČIUS Evaldas | 80 |
4 | DŽERVUS Darijus | 77 |
6 | ŠIŠKEVIČIUS Paulius | 70 |