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 = -1.1 * weight + 101
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOREAU Christophe | 71 |
| 3 | AGNOLUTTO Christophe | 69 |
| 9 | KJÆRGAARD Steffen | 74 |
| 10 | MENGIN Christophe | 68 |
| 11 | LANDRY Jacques | 77 |
| 14 | GOUGOT Fabrice | 72 |
| 20 | BROCHARD Laurent | 68 |
| 28 | GUESDON Frédéric | 73 |
| 31 | BESSY Frédéric | 65 |
| 51 | GABRIEL Frédéric | 60 |
| 55 | DE NEEF Steven | 75 |