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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVIRIA Fernando | 71 |
| 2 | GREIPEL André | 80 |
| 3 | BOUHANNI Nacer | 65 |
| 4 | GROENEWEGEN Dylan | 70 |
| 5 | DEGENKOLB John | 82 |
| 6 | PFINGSTEN Christoph | 69 |
| 7 | PLANCKAERT Baptiste | 65 |
| 8 | OIEN Justin | 68 |
| 9 | TRENTIN Matteo | 74 |
| 10 | PASQUALON Andrea | 75 |
| 11 | BENTA João | 60 |
| 12 | WIŚNIOWSKI Łukasz | 78 |
| 13 | BOASSON HAGEN Edvald | 75 |
| 14 | VAN GOETHEM Brian | 77 |