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 - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARDAUSKAS Ramūnas | 79 |
| 2 | KONOVALOVAS Ignatas | 74 |
| 3 | KAIRELIS Dainius | 63 |
| 11 | ŠIŠKEVIČIUS Evaldas | 80 |
| 12 | JUODVALKIS Egidijus | 73 |
| 14 | SABALIAUSKAS Marius | 76 |
| 17 | KRUOPIS Aidis | 80 |