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 = 1.7 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | KERS Koos Jeroen | 71 |
| 11 | RAABE Henry | 71 |
| 12 | ROJAS Juan Carlos | 58 |
| 19 | RAMIREZ Federico | 71 |
| 22 | BONILLA José Adrián | 73 |
| 33 | ACEVEDO Janier | 63 |
| 67 | LACHANCE Jean-Michel | 72 |
| 68 | BEUKEBOOM Dion | 88 |