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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Navardauskas
1
79 kgVaitkus
2
75 kgŠiškevičius
3
70 kgDžervus
4
77 kgKonovalovas
5
74 kg
1
79 kgVaitkus
2
75 kgŠiškevičius
3
70 kgDžervus
4
77 kgKonovalovas
5
74 kg
Weight (KG) →
Result →
79
70
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARDAUSKAS Ramūnas | 79 |
| 2 | VAITKUS Tomas | 75 |
| 3 | ŠIŠKEVIČIUS Paulius | 70 |
| 4 | DŽERVUS Darijus | 77 |
| 5 | KONOVALOVAS Ignatas | 74 |