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 = 2.4 * weight - 133
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | LANGEVELD Sebastian | 67 |
| 13 | SCHLECK Andy | 68 |
| 18 | TIMMER Albert | 77 |
| 24 | HOFFMANN Erik | 65 |
| 28 | CHAINEL Steve | 69 |
| 45 | FREI Thomas | 71 |
| 50 | MCGRORY Scott | 73 |
| 55 | DIDIER Laurent | 68 |
| 72 | VAN EMDEN Jos | 78 |