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 = -1.6 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRÄNDLE Matthias | 80 |
| 2 | NERZ Dominik | 67 |
| 4 | DEGENKOLB John | 82 |
| 6 | SAGAN Peter | 78 |
| 7 | GULDHAMMER Rasmus | 66 |
| 15 | BOIVIN Guillaume | 78 |
| 22 | REINHARDT Theo | 72 |
| 32 | THILL Tom | 73 |
| 37 | JANSE VAN RENSBURG Reinardt | 74 |
| 42 | MATZKA Ralf | 69 |
| 55 | MAHĎAR Martin | 61 |