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 = 0.9 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLIJLEVENS Jeroen | 70 |
| 3 | TEUTENBERG Sven | 66 |
| 5 | ZABEL Erik | 69 |
| 8 | BARTOLI Michele | 65 |
| 9 | PANTANI Marco | 58 |
| 10 | BAFFI Adriano | 70 |
| 11 | JALABERT Laurent | 66 |
| 12 | OZERS Kaspars | 73 |
| 15 | DOMÍNGUEZ Juan Carlos | 64 |
| 21 | OLANO Abraham | 70 |
| 42 | ZÜLLE Alex | 72 |