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 = 0.4 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KONYCHEV Alexander | 76 |
| 3 | QUARTERMAN Charlie | 75 |
| 4 | FERRARI Andrea | 64 |
| 6 | MONIQUET Sylvain | 61 |
| 12 | PRONSKIY Vadim | 58 |
| 14 | EL GOUZI Omar | 58 |
| 15 | CHZHAN Igor | 71 |
| 29 | SHAUCHENKA Siarhei | 74 |
| 36 | ZAMBELLI Samuele | 70 |
| 42 | DAINESE Alberto | 70 |
| 43 | MOZZATO Luca | 67 |
| 45 | GAZZOLI Michele | 76 |
| 46 | PAQUOT Tom | 70 |
| 52 | NOVIKOV Savva | 65 |
| 56 | RIVI Samuele | 72 |
| 73 | MARUKHIN Daniil | 64 |