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 | PRIEM Cees | 75 |
| 2 | DUCHEMIN Marcel | 60 |
| 5 | SUTTER Ueli | 70 |
| 6 | DEN HERTOG Fedor | 76 |
| 8 | HUBSCHMID Bruno | 74 |
| 10 | MARTIN Raymond | 62 |
| 13 | SCHMID Iwan | 64 |
| 14 | HÁVA Jiří | 62 |