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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEROV Alexander | 77 |
| 2 | DANIEL Maxime | 74 |
| 3 | CARDOSO Manuel Antonio Leal | 70 |
| 4 | CIOLEK Gerald | 75 |
| 5 | SILVESTRE Fábio | 78 |
| 7 | PIECHELE Andrea | 71 |
| 8 | FONTE César | 60 |
| 12 | BENFATTO Marco | 71 |
| 13 | CARVALHO Antonio | 62 |
| 14 | VAN ZANDBEEK Ronan | 72 |
| 16 | HOLLENSTEIN Reto | 80 |
| 17 | SILVA Luis Filipe | 71 |