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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | MOSCA Jacopo | 65 |
| 3 | SAGAN Peter | 78 |
| 4 | NIZZOLO Giacomo | 72 |
| 5 | KWIATKOWSKI Michał | 68 |
| 6 | BEVIN Patrick | 75 |
| 7 | SAGIV Guy | 68 |
| 8 | MARECZKO Jakub | 67 |
| 9 | GAVIRIA Fernando | 71 |
| 10 | FOLIFOROV Alexander | 61 |
| 11 | VAN POPPEL Danny | 82 |
| 12 | GROSU Eduard-Michael | 68 |
| 13 | CONSONNI Simone | 60 |
| 14 | TERPSTRA Niki | 75 |
| 15 | DURBRIDGE Luke | 78 |