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 + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PANCERA Giuseppe | 69 |
| 4 | FONTAN Victor | 66 |
| 7 | VIARENGO Amulio | 75 |
| 9 | BRUNERO Giovanni | 66 |
| 13 | ENRICI Giuseppe | 64 |
| 14 | POMPOSI Mario | 67 |
| 18 | PICCIN Alfonso | 64 |
| 20 | PIEMONTESI Domenico | 80 |
| 25 | PETIVA Emilio | 71 |
| 27 | BRESCIANI Arturo | 74 |
| 29 | CERUTTI Giusto | 65 |
| 39 | GORDINI Michele | 89 |
| 85 | CORNELIO André Louis | 62 |