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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BETTIOL Alberto | 69 |
| 2 | ROTA Lorenzo | 62 |
| 3 | ZAMBANINI Edoardo | 62 |
| 4 | GANNA Filippo | 83 |
| 5 | FORMOLO Davide | 62 |
| 6 | ALEOTTI Giovanni | 67 |
| 7 | CICCONE Giulio | 58 |
| 8 | VELASCO Simone | 59 |
| 10 | ULISSI Diego | 63 |
| 11 | BRAMBILLA Gianluca | 57 |
| 12 | DE MARCHI Alessandro | 65 |
| 13 | CONCI Nicola | 68 |
| 14 | ZOCCARATO Samuele | 74 |
| 15 | TRENTIN Matteo | 74 |
| 17 | FRIGO Marco | 70 |