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 = -15.1 * weight + 1695
This means that on average for every extra kilogram weight a rider loses -15.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 3 | KELLY Sean | 77 |
| 5 | SØRENSEN Rolf | 70 |
| 6 | GAVAZZI Pierino | 67 |
| 990 | BAFFI Adriano | 70 |
| 990 | GIANETTI Mauro | 62 |
| 990 | PETITO Roberto | 78 |
| 990 | UGRUMOV Piotr | 58 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | CENGHIALTA Bruno | 73 |
| 990 | GIUPPONI Flavio | 60 |
| 990 | BARONCHELLI Gianbattista | 72 |