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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 2 | FORCONI Riccardo | 71 |
| 3 | REBELLIN Davide | 63 |
| 4 | FONTANELLI Fabiano | 68 |
| 5 | LELLI Massimiliano | 69 |
| 8 | IMBODEN Heinz | 70 |
| 9 | CASAGRANDE Francesco | 64 |
| 14 | LAFIS Michel | 78 |
| 15 | GUERINI Giuseppe | 65 |
| 16 | GIANETTI Mauro | 62 |
| 18 | ELLI Alberto | 71 |
| 22 | LODA Nicola | 73 |