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 = 0.5 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOOLAERTS Michael | 80 |
| 2 | LAWLESS Chris | 72 |
| 3 | LAMPATER Leif | 75 |
| 4 | SCHOMBER Nils | 75 |
| 7 | KAŇKOVSKÝ Alois | 83 |
| 9 | GAREL Adrien | 77 |
| 14 | CASTRIQUE Jonas | 81 |
| 15 | OTTEMA Rick | 77 |