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 + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ALIZADEH Hossein | 62 |
| 4 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 5 | LIU Biao | 67 |
| 9 | KOLAHDOZHAGH Amir | 60 |
| 10 | ZARGARI Amir | 62 |
| 11 | BRAMMEIER Matt | 72 |
| 13 | ASKARI Hossein | 73 |
| 14 | LAVIEU Antoine | 60 |
| 15 | BALDO Nicolas | 73 |
| 16 | GOESINNEN Floris | 75 |
| 17 | MIZUROV Andrey | 68 |
| 18 | MIZBANI Ghader | 67 |
| 19 | FOMINYKH Daniil | 70 |
| 21 | ANTOMARCHI Julien | 70 |
| 24 | BELDA David | 53 |
| 25 | MAS Lluís | 69 |