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 = 1.6 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KÜÇÜKBAY Kemal | 70 |
| 3 | PETROV Danail Andonov | 63 |
| 4 | SAYAR Mustafa | 64 |
| 10 | KASA Gabor | 72 |
| 11 | BAJC Andi | 65 |
| 21 | AKDILEK Ahmet | 68 |
| 24 | KAL Miraç | 72 |
| 27 | GULCAN Ali | 68 |
| 35 | NADIRADZE Giorgi | 70 |