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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BEKKUM Darren | 62 |
| 3 | VAN DER MEULEN Max | 67 |
| 6 | GREENWOOD Matthew | 63 |
| 11 | WIDAR Jarno | 54 |
| 14 | GOMEZ Camilo Andres | 64.5 |
| 18 | TUCKWELL Luke | 66 |
| 21 | LOVIDIUS Edvin | 70 |
| 23 | ZAPATA Mauricio | 62 |