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 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAILEANU Cristian | 63 |
| 2 | BALKAN Onur | 69 |
| 3 | BUDYAK Anatoliy | 53 |
| 6 | FEDOSSEYEV Artur | 61.5 |
| 7 | ČANECKÝ Marek | 72 |
| 8 | KUZMIN Anton | 66 |
| 11 | VORGANOV Eduard | 65 |
| 12 | TYBOR Patrik | 72 |
| 14 | VASILYEV Maksym | 70 |
| 15 | JABRAYILOV Samir | 52 |
| 16 | BAYEMBAYEV Olzhas | 60 |
| 17 | MAHĎAR Martin | 61 |
| 22 | AYAZBAYEV Maxat | 75 |
| 23 | ZAKARIA Akmal Hakim | 59 |