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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | BALKAN Onur | 69 |
| 3 | SCHUMACHER Stefan | 71 |
| 4 | MONSALVE Yonathan | 62 |
| 6 | FINETTO Mauro | 62 |
| 8 | ZANON Elia | 63 |
| 12 | VIEL Mattia | 72 |
| 14 | GODOY Yonder | 64 |
| 19 | TIVANI German Nicolás | 67 |
| 22 | JULES Justin | 64 |