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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Beniušis
1
85 kgLašinis
2
69 kgRojus
6
83 kgJanuškevičius
9
72 kgMasiulis
13
71 kg
1
85 kgLašinis
2
69 kgRojus
6
83 kgJanuškevičius
9
72 kgMasiulis
13
71 kg
Weight (KG) →
Result →
85
69
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENIUŠIS Justas | 85 |
| 2 | LAŠINIS Venantas | 69 |
| 6 | ROJUS Adomaitis | 83 |
| 9 | JANUŠKEVIČIUS Mantas | 72 |
| 13 | MASIULIS Denas | 71 |