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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MØLLER Claus Michael | 70 |
| 2 | BERNABÉU David | 66 |
| 3 | HORRACH Joan Sebastian | 70 |
| 4 | CASTANHEIRA Bruno Miguel | 70 |
| 7 | GARCÍA CASAS Félix Miguel | 63 |
| 9 | SOUSA Rui | 59 |
| 10 | TETERIOUK Andrei | 72 |
| 11 | SOSENKA Ondřej | 82 |
| 12 | HEULOT Stéphane | 69 |
| 14 | BECKE Daniel | 75 |
| 15 | TALABARDON Sébastien | 67 |