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 + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVAZZI Mattia | 70 |
| 2 | MARINI Nicolas | 72 |
| 3 | SHPILEVSKY Boris | 78 |
| 4 | STACCHIOTTI Riccardo | 70 |
| 5 | ARIESEN Johim | 70 |
| 7 | PAPOK Siarhei | 76 |
| 13 | BUGTER Luuc | 81 |
| 14 | BANI Eugenio | 72 |
| 15 | WANG Meiyin | 70 |
| 16 | SHUSHEMOIN Alexandr | 62 |
| 18 | LIEPIŅŠ Emīls | 67 |
| 19 | BAZHKOU Stanislau | 65 |
| 21 | CLANCY Stephen | 63 |
| 22 | KERS Koos Jeroen | 71 |
| 23 | VAITKUS Tomas | 75 |
| 24 | BOGDANOVIČS Māris | 68 |