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 = 0.6 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAAS Martin | 76 |
| 2 | TAMOURIDIS Ioannis | 70 |
| 3 | JANIACZYK Błażej | 68 |
| 5 | VERSCHOOR Martijn | 74.5 |
| 8 | BALYKIN Ivan | 68 |
| 9 | STASH Mamyr | 77 |
| 11 | LUNARDON Paolo | 77 |
| 13 | ACKERMANN Pascal | 78 |
| 14 | FREDYUK Volodymyr | 77 |
| 16 | HENTTALA Joonas | 73 |