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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARDILLA Sergio | 65 |
| 2 | FERRARI Fabricio | 64 |
| 3 | CARTHY Hugh | 69 |
| 4 | BETANCUR Carlos | 60 |
| 5 | BRAVO Garikoitz | 61 |
| 6 | MORENO Daniel | 59 |
| 8 | BIZKARRA Mikel | 53 |
| 9 | SHILOV Sergey | 67 |
| 10 | PARRA Heiner Rodrigo | 51 |
| 11 | RODRIGUES David Miguel Costa | 60 |
| 12 | CARVALHO Antonio | 62 |
| 13 | MADRAZO Ángel | 61 |
| 14 | PRADES Eduard | 63 |
| 15 | MORENO Javier | 63 |
| 17 | FIGUEIREDO Frederico | 56 |
| 19 | TXOPERENA Beñat | 67 |