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 = -0.7 * weight + 98
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEGENKOLB John | 82 |
| 2 | SAGAN Peter | 78 |
| 3 | BOIVIN Guillaume | 78 |
| 4 | MATZKA Ralf | 69 |
| 14 | REINHARDT Theo | 72 |
| 18 | MAHĎAR Martin | 61 |
| 55 | THILL Tom | 73 |
| 56 | BRÄNDLE Matthias | 80 |
| 58 | JANSE VAN RENSBURG Reinardt | 74 |
| 71 | NERZ Dominik | 67 |
| 81 | GULDHAMMER Rasmus | 66 |
| 93 | SELIG Rüdiger | 80 |
| 117 | AHLSTRAND Jonas | 72 |