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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIANETTI Mauro | 62 |
| 2 | CENGHIALTA Bruno | 73 |
| 5 | BUGNO Gianni | 68 |
| 6 | CHIAPPUCCI Claudio | 67 |
| 14 | BORTOLAMI Gianluca | 73 |
| 19 | UGRUMOV Piotr | 58 |
| 26 | RICHARD Pascal | 67 |
| 30 | GAVAZZI Pierino | 67 |
| 36 | BALLERINI Franco | 78 |
| 37 | GIUPPONI Flavio | 60 |
| 48 | FONDRIEST Maurizio | 70 |