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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BLIJLEVENS Jeroen | 70 |
| 3 | JALABERT Laurent | 66 |
| 4 | ZABEL Erik | 69 |
| 9 | POLI Eros | 87 |
| 10 | ZANINI Stefano | 80 |
| 11 | BARTOLI Michele | 65 |
| 12 | HINCAPIE George | 83 |
| 13 | USHAKOV Serhiy | 73 |
| 14 | OZERS Kaspars | 73 |
| 17 | OLANO Abraham | 70 |
| 18 | BAFFI Adriano | 70 |
| 19 | CHANTEUR Pascal | 62 |
| 25 | ZÜLLE Alex | 72 |
| 30 | SCIREA Mario | 80 |