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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIS Rafael | 72 |
| 2 | VALINHO Victor | 60 |
| 3 | RIBEIRO Carlos | 66.5 |
| 4 | GUERREIRO Ruben | 65 |
| 5 | BARBIO António | 61 |
| 6 | JORGE Iúri | 72 |
| 7 | MAGALHAES Samuel | 70 |
| 10 | RODRIGUES João | 60 |
| 11 | VALE Ricardo | 65 |
| 13 | FERREIRA José | 64 |
| 14 | FERREIRA Hélder | 60 |
| 17 | BICO Nuno | 64 |
| 18 | HENRIQUES Pedro | 78 |
| 20 | VAZ Hugo | 63 |
| 21 | MESTRE Dominic | 63 |