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 + 36
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JEKER Fabian | 72 |
| 4 | ROMINGER Tony | 65 |
| 6 | DUFAUX Laurent | 60 |
| 9 | ZBERG Beat | 72 |
| 12 | UGRUMOV Piotr | 58 |
| 13 | BRUYNEEL Johan | 71 |
| 14 | ARMSTRONG Lance | 72 |
| 15 | BAGUET Serge | 67 |
| 16 | PÉREZ RODRÍGUEZ Luis | 67 |
| 24 | HODGE Stephen | 74 |
| 26 | ESCARTÍN Fernando | 61 |
| 27 | MURGUIALDAY Javier | 58 |
| 33 | HERRERA Luis Alberto | 57 |
| 35 | GIANETTI Mauro | 62 |
| 39 | KELLY Sean | 77 |
| 46 | LLANERAS Juan | 65 |