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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUNEGO Damiano | 58 |
| 2 | MIZBANI Ghader | 67 |
| 3 | AGGIANO Elio | 63 |
| 4 | LANGELLA Anthony | 76 |
| 5 | CARRARA Matteo | 67 |
| 10 | KAZEMI Sarai Ahad | 71 |
| 12 | CHADWICK Glen Alan | 75 |
| 13 | LUNGHI Denis | 61 |
| 15 | GUYTON Scott | 74 |
| 17 | CLARKE Jonathan | 68 |