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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | O'GRADY Stuart | 73 |
| 3 | MILLER Graeme | 72 |
| 4 | SKIBBY Jesper | 70 |
| 5 | ZABEL Erik | 69 |
| 6 | ANDERSEN Christian | 71 |
| 11 | VOGELS Henk | 75 |
| 12 | ROBERTS Luke | 71 |
| 13 | PÉREZ RODRÍGUEZ Luis | 67 |
| 14 | ALDAG Rolf | 75 |
| 15 | SVORADA Ján | 76 |
| 17 | SUNDERLAND Scott | 65 |
| 18 | BÄCKSTEDT Magnus | 94 |
| 20 | VINOKOUROV Alexandre | 68 |