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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIS Rafael | 72 |
| 2 | MOLENAAR Alex | 63 |
| 3 | SAMITIER Sergio | 63 |
| 5 | FERNANDES Luís | 63 |
| 6 | SILVA Rafael | 65 |
| 7 | SALGUEIRO Carlos Miguel | 68 |
| 8 | MOLLY Kenny | 61 |
| 9 | AULAR Orluis | 65 |
| 10 | SMIT Willie | 72 |
| 11 | FONTE César | 60 |
| 12 | BRAVO Garikoitz | 61 |
| 13 | ANTUNES Amaro | 58 |