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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÁRDENAS Félix Rafael | 59 |
| 2 | MIZUROV Andrey | 68 |
| 3 | AUGUSTYN John-Lee | 65 |
| 5 | PLAZA David | 68 |
| 7 | CARRARA Matteo | 67 |
| 11 | DYACHENKO Alexandr | 65 |
| 12 | TASHIRO Yasutaka | 54 |
| 14 | FUKUSHIMA Shinichi | 62 |
| 15 | BAZAYEV Assan | 62 |
| 16 | WONG Kam-Po | 65 |
| 19 | CHEULA Giampaolo | 62 |