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 - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PFANNBERGER Christian | 63 |
| 2 | CORNU Dominique | 78 |
| 3 | O'LOUGHLIN David | 68 |
| 4 | MØRKØV Michael | 71 |
| 5 | DAVEL WARD Shaun | 72 |
| 6 | ROBERTS Luke | 71 |
| 7 | HUNTER Robert | 72 |
| 8 | KEISSE Iljo | 72 |
| 9 | SABIDO Hugo | 70 |
| 10 | IMPEY Daryl | 72 |
| 12 | THOMSON Jay Robert | 75 |