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 = 1.3 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAUGRAIN Cyril | 62 |
| 2 | MAIGNAN Gilles | 63 |
| 4 | AGNOLUTTO Christophe | 69 |
| 5 | MOREAU Christophe | 71 |
| 6 | HALGAND Patrice | 67 |
| 8 | MENGIN Christophe | 68 |
| 11 | GUESDON Frédéric | 73 |
| 15 | KJÆRGAARD Steffen | 74 |
| 17 | KIRSIPUU Jaan | 80 |
| 19 | AUGER Ludovic | 78 |
| 31 | LANDRY Jacques | 77 |
| 32 | GOUGOT Fabrice | 72 |