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 - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POSTHUMA Joost | 76 |
| 2 | BOOM Lars | 75 |
| 3 | VASTARANTA Jukka | 63 |
| 5 | DE KORT Koen | 69 |
| 8 | HAYLES Robert | 80 |
| 10 | VORGANOV Eduard | 65 |
| 12 | HEIJBOER Mathieu | 78 |
| 14 | MANNING Paul | 76 |
| 15 | NEUVILLE Jerome | 85 |