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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUMOULIN Samuel | 57 |
| 2 | MURAVYEV Dmitriy | 75 |
| 3 | LEQUATRE Geoffroy | 64 |
| 4 | VANSUMMEREN Johan | 79 |
| 5 | MORAJKO Jacek | 65 |
| 10 | COUTOULY Cédric | 72 |
| 12 | LOOSLI David | 71 |
| 14 | DE KORT Koen | 69 |
| 16 | POSTHUMA Joost | 76 |