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 = -0.3 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BRUNERO Giovanni | 66 |
| 4 | BELLONI Gaetano | 75 |
| 11 | PANCERA Giuseppe | 69 |
| 12 | GORDINI Michele | 89 |
| 14 | PRATESI Ottavio | 74 |
| 18 | TERRENI Azzelio | 63 |
| 19 | ROSSIGNOLI Giovanni | 71 |
| 22 | CECILLI Luigi | 65 |
| 23 | ODDONE Guido | 66 |
| 35 | BRUMANA Angelo | 59 |
| 37 | BRENNA Giuseppe | 75 |
| 38 | GUIDI Angelo | 75 |