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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALKAN Onur | 69 |
| 3 | NAVARDAUSKAS Ramūnas | 79 |
| 4 | ANSONS Kristers | 77 |
| 11 | SAYAR Mustafa | 64 |
| 12 | ÖRKEN Ahmet | 69 |
| 13 | ROJUS Adomaitis | 83 |
| 14 | KÜÇÜKBAY Kemal | 70 |
| 18 | BALKAN Serkan | 64 |
| 19 | AKDILEK Ahmet | 68 |
| 24 | MIKAYILZADE Musa | 66 |
| 28 | SAMLI Feritcan | 75 |
| 33 | KAMYSHEV Arman | 67 |
| 38 | ZHUKENOV Aspan | 76 |
| 43 | JANUŠKEVIČIUS Mantas | 72 |
| 46 | BENIUŠIS Justas | 85 |
| 49 | TIRYAKI Oguzhan | 67 |