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 = -0.8 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANCHO Bruno | 73 |
| 2 | RADOCHLA Steffen | 70 |
| 3 | SILVESTRE Fábio | 78 |
| 5 | BARBOSA Cândido | 72 |
| 6 | PIRES Bruno | 63 |
| 7 | MENDES José | 64 |
| 8 | MARQUE Alejandro Manuel | 68 |
| 10 | REZA Kévin | 71 |
| 13 | KWIATKOWSKI Michał | 68 |
| 14 | PÉREZ Santiago | 61 |
| 16 | PETROV Danail Andonov | 63 |
| 18 | ZABALLA Constantino | 66 |
| 19 | JULES Justin | 64 |
| 20 | MANCEBO Francisco | 64 |
| 21 | GARCÍA Egoitz | 70 |
| 23 | FONTE César | 60 |
| 24 | SABIDO Hugo | 70 |