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 = 1.6 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VISCONTI Giovanni | 63 |
| 3 | STRGAR Matic | 62 |
| 5 | NIBALI Vincenzo | 65 |
| 6 | VELITS Peter | 63 |
| 9 | BURGHARDT Marcus | 75 |
| 10 | RABOŇ František | 74 |
| 36 | SULZBERGER Bernard | 67 |
| 57 | KEMPS Aaron | 73 |