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 = -0.9 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SWART Steve | 74 |
| 5 | BAFFI Adriano | 70 |
| 7 | MONCASSIN Frédéric | 73 |
| 8 | MAGNIEN Emmanuel | 68 |
| 11 | ZAMANA Cezary | 74 |
| 13 | SUNDERLAND Scott | 65 |
| 14 | SIMON François | 70 |
| 17 | MATTAN Nico | 69 |
| 18 | EKIMOV Viatcheslav | 69 |
| 19 | WESEMANN Steffen | 72 |
| 20 | BAGUET Serge | 67 |