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 = -0.6 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PÜTSEP Erki | 69 |
| 3 | SARAMOTINS Aleksejs | 75 |
| 4 | KIRSIPUU Jaan | 80 |
| 5 | AUG Andrus | 83 |
| 6 | CAPELLE Ludovic | 75 |
| 9 | NAVARDAUSKAS Ramūnas | 79 |
| 14 | KRUOPIS Aidis | 80 |
| 15 | JUODVALKIS Egidijus | 73 |
| 16 | BALČIŪNAS Linas | 90 |
| 18 | BAGDONAS Gediminas | 78 |
| 24 | FIRSANOV Sergey | 58 |
| 27 | OJAVEE Mart | 80 |
| 40 | SABALIAUSKAS Marius | 76 |
| 53 | MIRONOV Alexander | 68 |