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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUMANN Eric | 72 |
| 3 | KRITSKIY Timofey | 81 |
| 7 | PORSEV Alexander | 80 |
| 8 | SCHILLINGER Andreas | 72 |
| 12 | VASYLYUK Andriy | 65 |
| 14 | FIRSANOV Sergey | 58 |
| 16 | REINHARDT Theo | 72 |
| 24 | MIRONOV Alexander | 68 |
| 44 | KUZNETSOV Viacheslav | 70 |
| 55 | BOEV Igor | 74 |