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 + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABERASTURI Jon | 69 |
| 2 | RAJOVIĆ Dušan | 74 |
| 3 | BOUGLAS Georgios | 71 |
| 4 | GROSU Eduard-Michael | 68 |
| 5 | BERTAZZO Liam | 75 |
| 6 | GRIJALBA Fernando | 61 |
| 7 | ANDRIATO Rafael | 67 |
| 8 | COLLI Daniele | 73 |
| 9 | ÖRKEN Ahmet | 69 |
| 11 | VASYLYUK Andriy | 65 |
| 12 | DE VOS Gertjan | 72 |
| 13 | BAZHKOU Stanislau | 65 |
| 14 | ÖZGÜR Batuhan | 75 |
| 15 | PAPOK Siarhei | 76 |
| 17 | MARINI Nicolas | 72 |
| 19 | BUTS Vitaliy | 68 |
| 20 | MOSCA Jacopo | 65 |
| 21 | RUMAC Josip | 71 |