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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENNIS Rohan | 72 |
| 2 | KWIATKOWSKI Michał | 68 |
| 3 | CAMPENAERTS Victor | 68 |
| 4 | OLIVEIRA Nelson | 67 |
| 5 | VAN BAARLE Dylan | 78 |
| 6 | DE MARCHI Alessandro | 65 |
| 7 | CASTROVIEJO Jonathan | 62 |
| 8 | GESCHKE Simon | 64 |
| 9 | IZAGIRRE Ion | 60 |
| 10 | KELDERMAN Wilco | 65 |
| 11 | TEUNS Dylan | 64 |
| 12 | FELLINE Fabio | 68 |
| 13 | THOMAS Benjamin | 68 |
| 14 | AMADOR Andrey | 73 |
| 15 | BOOKWALTER Brent | 70 |