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 - 81
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOHRABI Mehdi | 69 |
| 2 | ZARGARI Amir | 62 |
| 3 | JURČO Matej | 69 |
| 14 | SAYAR Mustafa | 64 |
| 15 | KHALMURATOV Muradjan | 68 |
| 18 | MAHĎAR Martin | 61 |
| 22 | PETROV Daniel Bogomilov | 66 |
| 25 | KÜÇÜKBAY Kemal | 70 |
| 32 | SAFARZADEH Saeid | 66 |
| 34 | ALIZADEH Hossein | 62 |
| 38 | HAGHI Alireza | 78 |
| 39 | ASKARI Hossein | 73 |
| 41 | EIBEGGER Markus | 68 |
| 43 | SAEIDI TANHA Abbas | 70 |
| 46 | MIZBANI Ghader | 67 |
| 57 | TYBOR Patrik | 72 |