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 = 1.3 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGNO Gianni | 68 |
| 2 | GAVAZZI Pierino | 67 |
| 5 | SØRENSEN Rolf | 70 |
| 13 | CAROLI Daniele | 77 |
| 14 | BARONCHELLI Gianbattista | 72 |
| 18 | MARCUSSEN Jørgen | 70 |
| 19 | CHIAPPUCCI Claudio | 67 |
| 24 | ELLI Alberto | 71 |
| 33 | CENGHIALTA Bruno | 73 |