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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PINOTTI Marco | 67 |
| 5 | MONTAGUTI Matteo | 65 |
| 6 | BRUSEGHIN Marzio | 70 |
| 7 | DALL'ANTONIA Tiziano | 70 |
| 8 | CELLI Luca | 69 |
| 9 | CACCIA Diego | 70 |
| 10 | QUINZIATO Manuel | 74 |
| 11 | CANUTI Federico | 68 |
| 13 | MARANGONI Alan | 74 |
| 16 | PIEMONTESI Fabrice | 61 |
| 17 | CAPELLI Ermano | 78 |