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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEREBRYAKOV Alexander | 70 |
| 2 | GIRAUD Benjamin | 71 |
| 3 | KRASNOV Leonid | 65 |
| 4 | STALLAERT Joeri | 72 |
| 7 | SALEH Mohd Zamri | 58 |
| 8 | MARTINEZ Yannick | 69 |
| 9 | SINKELDAM Ramon | 77 |
| 10 | PEETERS Kevin | 67 |
| 11 | WANG Meiyin | 70 |
| 14 | IGLINSKIY Valentin | 68 |
| 16 | TAMOURIDIS Ioannis | 70 |
| 20 | CHOI Ki Ho | 59 |
| 21 | BUTS Vitaliy | 68 |
| 25 | KHALMURATOV Muradjan | 68 |