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 - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 2 | SHUSHEMOIN Alexandr | 62 |
| 9 | BIZHIGITOV Zhandos | 76 |
| 10 | ZEMLYAKOV Oleg | 70 |
| 11 | SHPILEVSKY Boris | 78 |
| 13 | BOGDANOVIČS Māris | 68 |
| 14 | MARTINS Uri | 70 |
| 15 | KERS Koos Jeroen | 71 |