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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROCHARD Laurent | 68 |
| 2 | GUESDON Frédéric | 73 |
| 5 | SAUGRAIN Cyril | 62 |
| 6 | MOREAU Christophe | 71 |
| 8 | GOUGOT Fabrice | 72 |
| 9 | MAIGNAN Gilles | 63 |
| 10 | AGNOLUTTO Christophe | 69 |
| 12 | BESSY Frédéric | 65 |
| 15 | HALGAND Patrice | 67 |
| 32 | KJÆRGAARD Steffen | 74 |