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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENIUŠIS Justas | 85 |
| 2 | LAŠINIS Venantas | 69 |
| 3 | ROJUS Adomaitis | 83 |
| 4 | KELMELIS Aristidas | 78 |
| 5 | JANUŠKEVIČIUS Mantas | 72 |
| 6 | KMIELIAUSKAS Rokas | 68 |
| 10 | MASIULIS Denas | 71 |
| 11 | MATUZEVIČIUS Žygimantas | 69 |
| 13 | KURAS Laurynas | 65 |