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 = -0.3 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUHAUS Phil | 75 |
| 2 | CARDOSO Manuel Antonio Leal | 70 |
| 3 | VIGANÒ Davide | 67 |
| 4 | CARDOSO Filipe | 70 |
| 5 | SHILOV Sergey | 67 |
| 6 | DOI Yukihiro | 58 |
| 7 | TORRES Pablo | 63.5 |
| 8 | KUBOKI Kazushige | 68 |
| 9 | KRAGH ANDERSEN Asbjørn | 72 |
| 10 | CALDEIRA Samuel José | 76 |
| 11 | AFONSO Luis | 56 |
| 12 | LASCA Francesco | 65 |
| 13 | FONTE César | 60 |