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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUIDI Fabrizio | 73 |
| 2 | TAFI Andrea | 73 |
| 3 | DONATI Massimo | 75 |
| 4 | CASAGRANDE Francesco | 64 |
| 5 | LELLI Massimiliano | 69 |
| 6 | VALOTI Paolo | 64 |
| 7 | NARDELLO Daniele | 74 |
| 9 | DJAVANIAN Viatcheslav | 64 |
| 12 | APOLLONIO Massimo | 70 |
| 13 | UGRUMOV Piotr | 58 |
| 14 | BALLERINI Franco | 78 |
| 25 | LODA Nicola | 73 |
| 29 | BORTOLAMI Gianluca | 73 |