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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDO Ángel | 64 |
| 2 | TORRENT Carlos | 71 |
| 4 | FAGNINI Gian Matteo | 70 |
| 5 | MAESTRE José Manuel | 74 |
| 6 | ARRIETA José Luis | 68 |
| 7 | BÉNÉTEAU Walter | 67 |
| 8 | ODRIOZOLA Jon | 70 |
| 9 | SÁNCHEZ Samuel | 65 |
| 10 | MOOS Alexandre | 64 |
| 11 | RUTKIEWICZ Marek | 66 |
| 12 | JEKER Fabian | 72 |
| 14 | RODRÍGUEZ Joaquim | 58 |
| 15 | OSA Aitor | 64 |
| 16 | FERRÍO Jorge | 51 |
| 20 | PASAMONTES Luis | 72 |
| 22 | BESSY Frédéric | 65 |