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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RÄIM Mihkel | 69 |
| 2 | LIEPIŅŠ Emīls | 67 |
| 3 | DE NEGRI Pier Paolo | 61 |
| 5 | ÁVILA Edwin | 61 |
| 6 | BERTAZZO Liam | 75 |
| 7 | KOROŠEC Rok | 75 |
| 8 | PORSEV Alexander | 80 |
| 9 | BAZHKOU Stanislau | 65 |
| 10 | GIRAUD Benjamin | 71 |
| 11 | COLLI Daniele | 73 |
| 12 | VORGANOV Eduard | 65 |
| 13 | ASADOV Elchin | 77 |
| 14 | VASYLYUK Andriy | 65 |
| 15 | SUZUKI Ryu | 58 |
| 16 | DIAZ Daniel | 61 |
| 18 | LUCHSHENKO Sergey | 63 |
| 19 | BENHAMOUDA Mehdi | 64 |