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 = -0.2 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | JULIUS Jayde | 59 |
| 11 | GIRDLESTONE Dylan | 66 |
| 12 | ROUGIER-LAGANE Christopher | 69 |
| 14 | JIM Songezo | 66 |
| 20 | COETZEE Drikus | 78 |
| 22 | TIGRINE Mehdi | 61 |
| 33 | MAYER Alexandre | 64 |
| 46 | MUZI Shabangu | 63 |