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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ULLRICH Jan | 73 |
| 2 | LUTTENBERGER Peter | 60 |
| 4 | PIEPOLI Leonardo | 54 |
| 5 | BOOGERD Michael | 62 |
| 6 | ARRIETA José Luis | 68 |
| 7 | SAVOLDELLI Paolo | 72 |
| 8 | CAMENZIND Oscar | 62 |
| 11 | JIMÉNEZ José María | 70 |
| 12 | MOREAU Christophe | 71 |
| 13 | FORNACIARI Paolo | 80 |
| 15 | BRASI Rossano | 67 |
| 17 | GUESDON Frédéric | 73 |
| 18 | STEINHAUSER Tobias | 72 |
| 19 | VAN HYFTE Paul | 70 |
| 21 | MATTAN Nico | 69 |
| 22 | BLIJLEVENS Jeroen | 70 |