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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUMANN Eric | 72 |
| 2 | KRITSKIY Timofey | 81 |
| 3 | PORSEV Alexander | 80 |
| 5 | SCHILLINGER Andreas | 72 |
| 10 | MIRONOV Alexander | 68 |
| 12 | BOEV Igor | 74 |
| 13 | KUZNETSOV Viacheslav | 70 |
| 14 | VASYLYUK Andriy | 65 |
| 18 | FIRSANOV Sergey | 58 |
| 49 | REINHARDT Theo | 72 |