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 - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARZOLI Ruggero | 61 |
| 3 | BALIANI Fortunato | 66 |
| 4 | RATTI Eddy | 64 |
| 6 | GIORDANI Leonardo | 68 |
| 8 | SIMEONI Filippo | 68 |
| 10 | ERMETI Giairo | 60 |
| 11 | DI GRANDE Giuseppe | 58 |
| 12 | CELLI Luca | 69 |
| 14 | MASCIARELLI Andrea | 61 |
| 16 | CARRARA Matteo | 67 |
| 22 | DONATI Alessandro | 71 |