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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SUAZA Bernardo | 66 |
| 3 | OSORIO Juan Felipe | 65 |
| 4 | BICO Nuno | 64 |
| 5 | GONÇALVES Gaspar | 64 |
| 7 | VAZ Hugo | 63 |
| 8 | SILVA Paulo | 54 |
| 10 | CUADROS Álvaro | 67 |
| 11 | RYBALKIN Aleksey | 60 |
| 13 | RODRIGUES João | 60 |
| 15 | MAGALHAES Samuel | 70 |
| 19 | VDOVIN Sergey | 62.5 |
| 20 | RODRIGUES Rui Emanuel | 69 |
| 24 | CAICEDO Jonathan Klever | 62 |
| 27 | MARTINGIL César | 67 |
| 32 | NEVES José | 61 |