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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COLLI Daniele | 73 |
| 2 | ARIESEN Johim | 70 |
| 6 | BĒCIS Armands | 82 |
| 7 | BAZHKOU Stanislau | 65 |
| 8 | VAITKUS Tomas | 75 |
| 10 | LUNARDON Paolo | 77 |
| 11 | STACCHIOTTI Riccardo | 70 |
| 13 | CLANCY Stephen | 63 |
| 14 | GAVAZZI Mattia | 70 |
| 15 | MARINI Nicolas | 72 |
| 16 | ZEMLYAKOV Oleg | 70 |
| 19 | MUZYCHKIN Anton | 76 |
| 20 | BUGTER Luuc | 81 |
| 23 | SHUSHEMOIN Alexandr | 62 |