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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | MODOLO Sacha | 67 |
| 3 | KRISTOFF Alexander | 78 |
| 4 | GUARDINI Andrea | 66 |
| 5 | BENNETT Sam | 73 |
| 6 | VAN AVERMAET Greg | 74 |
| 7 | BOASSON HAGEN Edvald | 75 |
| 8 | QUINZIATO Manuel | 74 |
| 9 | KUZNETSOV Viacheslav | 70 |
| 10 | GÉRARD Arnaud | 70 |
| 11 | KRAGH ANDERSEN Søren | 73 |