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 + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURI Melchor | 68 |
| 2 | GAUMONT Philippe | 77 |
| 3 | DUFAUX Laurent | 60 |
| 4 | MAIGNAN Gilles | 63 |
| 5 | MOREAU Christophe | 71 |
| 6 | JALABERT Nicolas | 68 |
| 8 | HORNER Chris | 70 |
| 9 | BRUYNEEL Johan | 71 |
| 12 | PEÑA Victor Hugo | 65 |
| 13 | RINERO Christophe | 65 |
| 14 | SALMON Benoît | 60 |
| 16 | BROCHARD Laurent | 68 |
| 17 | VIRENQUE Richard | 65 |
| 18 | JULICH Bobby | 68 |
| 20 | CUESTA Iñigo | 62 |