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 - 63
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAVAZZI Pierino | 67 |
| 3 | BUGNO Gianni | 68 |
| 7 | FONDRIEST Maurizio | 70 |
| 8 | ROMINGER Tony | 65 |
| 9 | GIANETTI Mauro | 62 |
| 24 | VANDI Alfio | 64 |
| 30 | CENGHIALTA Bruno | 73 |
| 32 | ELLI Alberto | 71 |
| 34 | MARTINELLO Silvio | 71 |
| 40 | CHIAPPUCCI Claudio | 67 |
| 45 | BARONCHELLI Gianbattista | 72 |
| 47 | GIUPPONI Flavio | 60 |
| 48 | SARONNI Giuseppe | 65 |
| 49 | CAROLI Daniele | 77 |
| 54 | BALLERINI Franco | 78 |