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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALORI Adriano | 68 |
| 2 | CATALDO Dario | 64 |
| 3 | MARANGONI Alan | 74 |
| 4 | PIRAZZI Stefano | 62 |
| 5 | BOARO Manuele | 64 |
| 6 | CONTI Valerio | 61 |
| 8 | BALLONI Alfredo | 72 |
| 9 | DALL'ANTONIA Tiziano | 70 |
| 10 | CATTANEO Mattia | 67 |
| 12 | ANTONINI Simone | 75 |
| 13 | FRANZOI Enrico | 70 |
| 14 | STACCHIOTTI Riccardo | 70 |
| 15 | PETILLI Simone | 65 |
| 16 | BUSATO Matteo | 67 |
| 17 | SPREAFICO Matteo | 69 |
| 19 | MALAGUTI Alessandro | 67 |