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 = -1.8 * weight + 157
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOVELIJNCK Kurt | 75 |
| 3 | VANDENBERGH Stijn | 86 |
| 5 | STEURS Geert | 77 |
| 6 | DE WILDE Sjef | 74 |
| 11 | INGELS Nick | 70 |
| 18 | FARRAR Tyler | 73 |
| 19 | LISABETH Kenny | 75 |
| 30 | BOOM Lars | 75 |
| 38 | NEIRYNCK Kevin | 71 |
| 46 | PAUWELS Serge | 65 |
| 49 | CLARKE Hilton | 70 |
| 53 | BOUCHER David | 78 |
| 55 | RENDERS Sven | 63 |
| 60 | STAMSNIJDER Tom | 76 |