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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGDONAS Gediminas | 78 |
| 2 | LAŠINIS Venantas | 69 |
| 3 | BENIUŠIS Justas | 85 |
| 4 | JANUŠKEVIČIUS Mantas | 72 |
| 5 | MASIULIS Denas | 71 |
| 6 | ROJUS Adomaitis | 83 |
| 7 | KMIELIAUSKAS Rokas | 68 |
| 8 | KELMELIS Aristidas | 78 |
| 10 | KAZAKEVIČIUS Artūras | 80 |
| 11 | ŠIŠKEVIČIUS Evaldas | 80 |
| 13 | DŽERVUS Darijus | 77 |
| 15 | NAVARDAUSKAS Ramūnas | 79 |