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 = 1.5 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KONYCHEV Alexander | 76 |
| 3 | QUARTERMAN Charlie | 75 |
| 4 | FERRARI Andrea | 64 |
| 7 | MONIQUET Sylvain | 61 |
| 13 | CHZHAN Igor | 71 |
| 14 | EL GOUZI Omar | 58 |
| 21 | PRONSKIY Vadim | 58 |
| 30 | NOVIKOV Savva | 65 |
| 40 | MARUKHIN Daniil | 64 |
| 41 | SHAUCHENKA Siarhei | 74 |
| 51 | ZAMBELLI Samuele | 70 |
| 57 | PAQUOT Tom | 70 |
| 73 | RIVI Samuele | 72 |
| 82 | GAZZOLI Michele | 76 |
| 85 | DAINESE Alberto | 70 |
| 86 | MOZZATO Luca | 67 |