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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FISCHER Murilo Antonio | 65 |
| 2 | MARZOLI Ruggero | 61 |
| 4 | FLECHA Juan Antonio | 72 |
| 6 | GERRANS Simon | 62 |
| 7 | MARCATO Marco | 67 |
| 12 | ALBASINI Michael | 65 |
| 15 | DESSEL Cyril | 63 |
| 16 | MAZZANTI Luca | 64 |
| 19 | KUSCHYNSKI Aleksandr | 65 |
| 20 | BORRAJO Alejandro Alberto | 76 |