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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIHS Michael | 75 |
| 2 | GOESINNEN Floris | 75 |
| 4 | BELLETTI Manuel | 72 |
| 5 | BOBRIDGE Jack | 65 |
| 7 | ROULSTON Hayden | 81 |
| 8 | WESTRA Lieuwe | 74 |
| 9 | MORTENSEN Martin | 70 |
| 11 | DE GENDT Thomas | 73 |
| 12 | JØRGENSEN René | 60 |
| 13 | DEROO David | 61 |
| 14 | PORTE Richie | 62 |
| 15 | VOIGT Jens | 76 |
| 16 | RENSHAW Mark | 74 |