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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZEMLYAKOV Oleg | 70 |
| 5 | BIZHIGITOV Zhandos | 76 |
| 7 | CRAWFORD Jai | 59 |
| 8 | FELIPE Marcelo | 58 |
| 9 | MONIER Damien | 75 |
| 14 | LEBAS Thomas | 65 |
| 15 | OCONER George | 59 |
| 16 | GIDICH Yevgeniy | 69 |