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 - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKIBBY Jesper | 70 |
| 2 | JALABERT Laurent | 66 |
| 3 | MAURI Melchor | 68 |
| 4 | BARTOLI Michele | 65 |
| 6 | BRUYNEEL Johan | 71 |
| 7 | OLANO Abraham | 70 |
| 8 | VIRENQUE Richard | 65 |
| 9 | RIIS Bjarne | 71 |
| 12 | SERRANO Marcos Antonio | 63 |
| 14 | MERCKX Axel | 77 |
| 22 | ZÜLLE Alex | 72 |