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 = 58.4 * weight - 3312
This means that on average for every extra kilogram weight a rider loses 58.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 2 | SUNDERLAND Scott | 65 |
| 3 | HAMBURGER Bo | 58 |
| 990 | SKIBBY Jesper | 70 |
| 990 | ZÜLLE Alex | 72 |
| 990 | EKIMOV Viatcheslav | 69 |
| 990 | MUSEEUW Johan | 71 |
| 990 | HARMELING Rob | 76 |
| 990 | STEPHENS Neil | 65 |
| 990 | CORDES Tom | 70 |