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 = -2.6 * weight + 228
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NERZ Dominik | 67 |
| 2 | DEGENKOLB John | 82 |
| 4 | BRÄNDLE Matthias | 80 |
| 11 | GULDHAMMER Rasmus | 66 |
| 20 | REINHARDT Theo | 72 |
| 21 | BOIVIN Guillaume | 78 |
| 40 | SAGAN Peter | 78 |
| 43 | SELIG Rüdiger | 80 |
| 44 | THILL Tom | 73 |
| 55 | JANSE VAN RENSBURG Reinardt | 74 |
| 73 | MATZKA Ralf | 69 |
| 103 | AHLSTRAND Jonas | 72 |
| 109 | MAHĎAR Martin | 61 |