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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VICIOSO Ángel | 60 |
| 2 | ZABALLA Constantino | 66 |
| 4 | ROCHE Nicolas | 70 |
| 6 | MACHADO Tiago | 63 |
| 8 | MESTRE Ricardo | 58 |
| 9 | HUNT Jeremy | 76 |
| 10 | COSTA Rui | 69 |
| 11 | PALOMARES Adrián | 56 |
| 12 | KAIRELIS Dainius | 63 |
| 13 | BERNABÉU David | 66 |
| 14 | PIRES Bruno | 63 |
| 16 | CODOL Massimo | 67 |
| 19 | RIBEIRO Nuno | 59 |
| 20 | MORAJKO Jacek | 65 |
| 24 | SALGUEIRO Enrique | 73 |
| 25 | LIVRAMENTO David | 55 |