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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 2 | BELLETTI Manuel | 72 |
| 3 | FINETTO Mauro | 62 |
| 4 | PELUCCHI Matteo | 74 |
| 5 | MOSCON Gianni | 71 |
| 6 | GAVAZZI Mattia | 70 |
| 7 | SANTORO Antonio | 53 |
| 8 | FEDI Andrea | 70 |
| 9 | CICCONE Giulio | 58 |
| 10 | FORTIN Filippo | 78 |
| 13 | HENAO Sebastián | 57 |