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 = -0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ERMENAULT Corentin | 75 |
| 3 | SCOTT Robert | 73 |
| 4 | DAUPHIN Florian | 70 |
| 5 | BOSTOCK Matthew | 69 |
| 7 | VITZTHUM Simon | 70 |
| 8 | MAHOUDO Nolann | 61 |
| 9 | LE HUITOUZE Eddy | 71 |
| 10 | VOGEL Alex | 80 |
| 11 | SCOTT Jacob | 68 |
| 13 | WOOD Oliver | 72 |
| 14 | TEGGART Matthew | 63 |
| 16 | QUARTERMAN Charlie | 75 |
| 18 | PERRY Benjamin | 71 |
| 20 | GEORGE Dylan | 68 |