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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GESINK Robert | 70 |
| 2 | LLOYD Matthew | 62 |
| 3 | PETERSON Tom | 70 |
| 4 | LEMOINE Cyril | 73 |
| 5 | KRAUß Sven | 81 |
| 7 | VITORIA David | 74 |
| 8 | VISCONTI Giovanni | 63 |
| 9 | EUSER Lucas | 56 |
| 10 | COZZA Steven | 70 |
| 11 | CIOLEK Gerald | 75 |
| 13 | BOOKWALTER Brent | 70 |
| 16 | POWERS Jeremy | 68 |
| 17 | MARINO Jean-Marc | 65 |
| 18 | KING Edward | 78 |
| 19 | FAIRLY Caleb | 60 |