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 = 6.9 * weight - 447
This means that on average for every extra kilogram weight a rider loses 6.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANGEVELD Sebastian | 67 |
| 3 | SCHLECK Andy | 68 |
| 12 | CHAINEL Steve | 69 |
| 16 | DIDIER Laurent | 68 |
| 30 | HOFFMANN Erik | 65 |
| 61 | MCGRORY Scott | 73 |
| 66 | TIMMER Albert | 77 |
| 72 | FREI Thomas | 71 |
| 106 | VAN EMDEN Jos | 78 |