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 = 0.6 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBERO Carlos | 66 |
| 4 | LETRAS João | 73 |
| 7 | RODRIGUES Rui Emanuel | 69 |
| 9 | RIBEIRO Carlos | 66.5 |
| 10 | MEIRELES Nuno | 62 |
| 11 | BARBIO António | 61 |
| 12 | SILVA Joaquim | 66 |
| 14 | VALINHO Victor | 60 |
| 15 | ALMEIDA Nuno | 64 |
| 16 | MANFREDI Andrea | 54 |
| 19 | VALE Ricardo | 65 |
| 22 | VAZ Hugo | 63 |
| 28 | RODRIGUES David Miguel Costa | 60 |
| 40 | RUBIO Diego | 81 |
| 44 | FERREIRA José | 64 |
| 45 | ARISTI Mikel | 72 |