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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLANO Juan Sebastián | 72 |
| 2 | BOUGLAS Georgios | 71 |
| 4 | CATAFORD Alexander | 70 |
| 6 | GROŠELJ Matic | 70 |
| 8 | ALZATE Carlos | 74 |
| 10 | TESFATSION Natnael | 60 |
| 11 | BONIFAZIO Leonardo | 63 |
| 12 | DEBESAY Yakob | 63 |
| 13 | MARECZKO Jakub | 67 |