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 = 1.1 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RYBAKOV Alexander | 65 |
| 2 | KOCHETKOV Pavel | 70 |
| 7 | BAJC Andi | 65 |
| 9 | ERSHOV Artur | 70 |
| 10 | VASYLYUK Andriy | 65 |
| 15 | LOZANO David | 63 |
| 18 | NIKOLAEV Sergey | 66 |
| 19 | TOPCHANYUK Artem | 65 |
| 23 | KUZNETSOV Viacheslav | 70 |
| 24 | MEZGEC Luka | 72 |
| 25 | MIRONOV Alexander | 68 |
| 29 | GALEYEV Vadim | 68 |
| 30 | KONDRUT Vitaliy | 79 |