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 = 0.7 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RYBALKIN Aleksey | 60 |
| 2 | GUERREIRO Ruben | 65 |
| 3 | SILVA Joaquim | 66 |
| 5 | GONZÁLEZ Óscar | 62.5 |
| 6 | VAZ Hugo | 63 |
| 7 | GONÇALVES Gaspar | 64 |
| 8 | MAGALHAES Samuel | 70 |
| 9 | RIBEIRO Carlos | 66.5 |
| 10 | SHALUNOV Evgeny | 70 |
| 11 | SOLE Arnau | 67 |
| 13 | TRUEBA Alvaro | 65 |
| 16 | OLABERRIA Pello | 61 |
| 20 | REIS Rafael | 72 |
| 21 | SERRANO Gonzalo | 65 |