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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 2 | FREIRE Óscar | 63 |
| 3 | HUSHOVD Thor | 83 |
| 4 | O'GRADY Stuart | 73 |
| 5 | EISEL Bernhard | 74 |
| 6 | ALBIZURI Beñat | 69 |
| 7 | ZABEL Erik | 69 |
| 8 | DAVIS Allan | 73 |
| 9 | PRIAMO Matteo | 72 |
| 10 | BALDUCCI Gabriele | 69 |
| 11 | KOPP David | 68 |
| 13 | MONDORY Lloyd | 66 |
| 14 | COMMESSO Salvatore | 66 |