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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUSHOVD Thor | 83 |
| 2 | KIRSIPUU Jaan | 80 |
| 3 | NAZON Jean-Patrick | 74 |
| 6 | DETILLOUX Christophe | 62 |
| 7 | HAYMAN Mathew | 78 |
| 8 | PIZIKS Arvis | 70 |
| 9 | CAPELLE Christophe | 73 |
| 10 | PLANCKAERT Jo | 70 |