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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAILEANU Cristian | 63 |
| 3 | KÜÇÜKBAY Kemal | 70 |
| 4 | BALYKIN Ivan | 68 |
| 5 | BALKAN Onur | 69 |
| 6 | SAFARZADEH Saeid | 66 |
| 7 | SAYAR Mustafa | 64 |
| 9 | POURHASHEMI Hamid | 64 |
| 11 | ÖRKEN Ahmet | 69 |
| 12 | SAMLI Feritcan | 75 |
| 16 | NEMATI KHIAVI Ali | 60 |
| 21 | LAVRENTYEV Anton | 88 |
| 23 | FEDOSSEYEV Artur | 61.5 |
| 30 | TIRYAKI Oguzhan | 67 |
| 33 | GALEYEV Vadim | 68 |