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 - 44
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | ZANINI Stefano | 80 |
| 3 | VAN HEESWIJK Max | 73 |
| 4 | PICCOLI Mariano | 64 |
| 10 | MERCKX Axel | 77 |
| 11 | OLANO Abraham | 70 |
| 12 | MADOUAS Laurent | 70 |
| 13 | LIVINGSTON Kevin | 70 |
| 14 | MAURI Melchor | 68 |
| 16 | ODRIOZOLA Jon | 70 |
| 17 | ZÜLLE Alex | 72 |
| 18 | HALGAND Patrice | 67 |
| 19 | VIRENQUE Richard | 65 |
| 20 | FRATTINI Francesco | 60 |
| 102 | INDURÁIN Miguel | 76 |