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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALKAN Onur | 69 |
| 2 | BALYKIN Ivan | 68 |
| 4 | RAILEANU Cristian | 63 |
| 5 | KÜÇÜKBAY Kemal | 70 |
| 6 | POURHASHEMI Hamid | 64 |
| 7 | SAYAR Mustafa | 64 |
| 8 | SAFARZADEH Saeid | 66 |
| 12 | SAMLI Feritcan | 75 |
| 14 | ÖRKEN Ahmet | 69 |
| 16 | MIZBANI Ghader | 67 |
| 21 | FEDOSSEYEV Artur | 61.5 |
| 22 | GALEYEV Vadim | 68 |