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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VOROBYEV Anton | 74 |
| 6 | MIRONOV Alexander | 68 |
| 7 | STEVIĆ Ivan | 66 |
| 10 | FIRSANOV Sergey | 58 |
| 14 | VASYLYUK Andriy | 65 |
| 15 | SOLOMENNIKOV Andrei | 72 |
| 16 | BOEV Igor | 74 |
| 17 | PREVAR Oleksandr | 64 |