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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALYKIN Ivan | 68 |
| 2 | SEVILLA Óscar | 62 |
| 3 | VORGANOV Eduard | 65 |
| 5 | KÜÇÜKBAY Kemal | 70 |
| 6 | RAMIREZ Brayan Steven | 69 |
| 7 | BAZHKOU Stanislau | 65 |
| 9 | ÖRKEN Ahmet | 69 |
| 10 | ARANGO Juan Esteban | 62 |
| 11 | ALMEIDA João | 63 |
| 12 | CHIRICO Luca | 58 |
| 17 | ZAHIRI Abderrahim | 57 |
| 20 | VARGAS Walter | 69 |
| 21 | SAMLI Feritcan | 75 |