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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÜTSEP Erki | 69 |
| 2 | BOEV Igor | 74 |
| 7 | BAGDONAS Gediminas | 78 |
| 9 | OJAVEE Mart | 80 |
| 12 | BOGDANOVIČS Māris | 68 |
| 15 | BĒCIS Armands | 82 |
| 17 | NAVARDAUSKAS Ramūnas | 79 |
| 18 | DŽERVUS Darijus | 77 |
| 19 | VASYLYUK Andriy | 65 |