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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROSU Eduard-Michael | 68 |
| 3 | LIEPIŅŠ Emīls | 67 |
| 5 | KIENDYŚ Tomasz | 78 |
| 7 | BANASZEK Adrian | 79 |
| 8 | AVERIN Maksym | 74 |
| 10 | DŽERVUS Darijus | 77 |
| 11 | KRASNOV Leonid | 65 |
| 15 | MANNINEN Matti | 70 |
| 16 | KLIMOV Sergey | 69 |
| 17 | STACCHIOTTI Riccardo | 70 |