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 = -0.4 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIEMONTESI Domenico | 80 |
| 5 | GIACOBBE Luigi | 74 |
| 6 | GRANDI Allegro | 69 |
| 7 | PANCERA Giuseppe | 69 |
| 8 | PICCIN Alfonso | 64 |
| 9 | ORECCHIA Michele | 62 |
| 10 | MORELLI Ambrogio Enrico | 78 |
| 13 | ROVIDA Carlo | 69 |
| 15 | MARA Michele | 68 |
| 18 | CRIPPA Alfonso | 70 |
| 19 | POMPOSI Mario | 67 |
| 24 | GUERRA Learco | 77 |
| 27 | DI PACO Raffaele | 83 |
| 28 | INNOCENTI Settimo | 63 |
| 36 | VIARENGO Amulio | 75 |
| 49 | FRANCINI Alfred | 67 |
| 62 | CECILLI Luigi | 65 |