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 * weight + 96
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 2 | NERZ Dominik | 67 |
| 3 | GULDHAMMER Rasmus | 66 |
| 4 | BOIVIN Guillaume | 78 |
| 9 | REINHARDT Theo | 72 |
| 10 | THILL Tom | 73 |
| 15 | JANSE VAN RENSBURG Reinardt | 74 |
| 26 | BRÄNDLE Matthias | 80 |
| 33 | MATZKA Ralf | 69 |
| 44 | DEGENKOLB John | 82 |
| 79 | MAHĎAR Martin | 61 |