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 = 0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMUSSO Francesco | 66 |
| 2 | GIACOBBE Luigi | 74 |
| 7 | PESENTI Antonio | 60 |
| 8 | MORELLI Ambrogio Enrico | 78 |
| 10 | GESTRI Eugenio | 72 |
| 11 | ORECCHIA Michele | 62 |
| 15 | SCORTICATI Renato | 68 |
| 18 | CIPRIANI Mario | 72 |
| 24 | CRIPPA Alfonso | 70 |
| 25 | POMPOSI Mario | 67 |
| 26 | ROVIDA Carlo | 69 |
| 28 | GRANDI Allegro | 69 |
| 29 | MAGNE Antonin | 74 |
| 31 | MEINI Ettore | 74 |
| 33 | DI PACO Raffaele | 83 |
| 55 | MARTANO Giuseppe | 74 |
| 64 | UGAGLIA Luigi | 61 |