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 | SUAZA Bernardo | 66 |
| 3 | BICO Nuno | 64 |
| 4 | OSORIO Juan Felipe | 65 |
| 5 | GONÇALVES Gaspar | 64 |
| 7 | RYBALKIN Aleksey | 60 |
| 8 | SHALUNOV Evgeny | 70 |
| 10 | VAZ Hugo | 63 |
| 11 | CUADROS Álvaro | 67 |
| 13 | RODRIGUES João | 60 |
| 16 | MAGALHAES Samuel | 70 |
| 20 | RODRIGUES Rui Emanuel | 69 |
| 21 | VDOVIN Sergey | 62.5 |
| 28 | CAICEDO Jonathan Klever | 62 |
| 36 | NEVES José | 61 |
| 37 | MARTINGIL César | 67 |