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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BELLONI Gaetano | 75 |
| 5 | ENRICI Giuseppe | 64 |
| 14 | MARTINETTO Secondo | 84 |
| 15 | BRENNA Giuseppe | 75 |
| 18 | ROSSIGNOLI Giovanni | 71 |
| 19 | GORDINI Michele | 89 |
| 21 | RUFFONI Giuseppe | 74 |
| 26 | PETIVA Emilio | 71 |