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 = -1.8 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 3 | KELLY Sean | 77 |
| 4 | YATES Sean | 74 |
| 6 | ROCHE Stephen | 74 |
| 7 | HOSTE Frank | 76 |
| 10 | HODGE Stephen | 74 |
| 11 | GAYANT Martial | 69 |
| 12 | GIANETTI Mauro | 62 |
| 14 | MADIOT Marc | 68 |
| 20 | DUCLOS-LASSALLE Gilbert | 73 |
| 33 | MURGUIALDAY Javier | 58 |
| 42 | DEMIERRE Serge | 70 |
| 57 | BAYTON Phil | 61 |