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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARDINI Andrea | 66 |
| 2 | BERTAZZO Liam | 75 |
| 3 | EWAN Caleb | 69 |
| 5 | DAL COL Andrea | 80 |
| 6 | FEILLU Romain | 62 |
| 7 | ÖRKEN Ahmet | 69 |
| 8 | REGUIGUI Youcef | 69 |
| 10 | TRUSOV Nikolay | 77 |
| 11 | CHICCHI Francesco | 76 |
| 12 | OTHMAN Muhamad Afiq Husaine | 57 |
| 13 | HANSON Ken | 74 |
| 14 | FUKUDA Shinpei | 70 |
| 15 | REIJNEN Kiel | 63 |
| 16 | MOLANO Juan Sebastián | 72 |
| 18 | SALEH Mohd Harrif | 70 |
| 19 | CHIRICO Luca | 58 |