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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUNERO Giovanni | 66 |
| 2 | BELLONI Gaetano | 75 |
| 4 | BUYSSE Lucien | 68 |
| 5 | GREMO Angelo | 74 |
| 8 | CANEPARI Clemente | 62 |
| 9 | ROSSIGNOLI Giovanni | 71 |
| 11 | COMINETTI Alfredo | 67 |
| 14 | GORDINI Michele | 89 |
| 15 | SANTHIA Giuseppe | 73 |
| 17 | SALA Enrico | 62 |
| 22 | GUIDI Angelo | 75 |
| 26 | DI GAETANO Felice | 64 |