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 + 96
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULLY Ján Andrej | 73 |
| 3 | ANDREEV Yordan | 63 |
| 4 | TZORTZAKIS Polychronis | 80 |
| 5 | MIHAYLOV Nikolay | 70 |
| 7 | BELLAN Juraj | 61 |
| 9 | ČANECKÝ Marek | 72 |
| 11 | ĐURIĆ Đorđe | 79 |
| 13 | MAHĎAR Martin | 61 |
| 16 | NOBEL Rick | 78 |
| 29 | SUCHEV Mario | 68 |
| 30 | ALEKSANDROV Yasen | 62 |
| 33 | JOLIDON Cédric | 71 |
| 35 | KOLEV Yoan | 64 |
| 41 | ZEGKLIS Nikolaos | 57 |
| 43 | DYANKOV Nikolay | 61 |
| 55 | DYANKOV Denis | 65 |