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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALORI Adriano | 68 |
| 2 | BOARO Manuele | 64 |
| 3 | MARANGONI Alan | 74 |
| 4 | DALL'ANTONIA Tiziano | 70 |
| 5 | VISCONTI Giovanni | 63 |
| 6 | MONTAGUTI Matteo | 65 |
| 7 | CATALDO Dario | 64 |
| 9 | DE MARCHI Alessandro | 65 |
| 10 | PAGANI Angelo | 68 |
| 11 | FELLINE Fabio | 68 |
| 12 | BALLONI Alfredo | 72 |
| 15 | BENENATI Cristian | 63 |