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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOL Jetse | 71 |
| 2 | PHINNEY Taylor | 82 |
| 3 | DEGENKOLB John | 82 |
| 4 | ROBERT Fréderique | 68 |
| 6 | THEUNS Edward | 72 |
| 7 | DEBUSSCHERE Jens | 77 |
| 9 | KELDERMAN Wilco | 65 |
| 10 | HOLLANDERS Dries | 70 |
| 11 | KITTEL Marcel | 82 |
| 14 | SALOMEIN Jarl | 80 |
| 15 | VAN GENECHTEN Jonas | 67 |
| 19 | VANDYCK Niels | 64 |
| 22 | TERWEDUWE Kenny | 67 |
| 23 | LUDVIGSSON Tobias | 76 |