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 + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAAS Martin | 76 |
| 2 | TZORTZAKIS Polychronis | 80 |
| 3 | LAUK Karl Patrick | 69 |
| 4 | BOGUSŁAWSKI Marceli | 77 |
| 5 | VAHTRA Norman | 85 |
| 6 | BANASZEK Adrian | 79 |
| 7 | RÄIM Mihkel | 69 |
| 8 | PATERSKI Maciej | 73 |
| 11 | NISU Oskar | 84 |
| 12 | MURIAS Jakub | 65 |
| 13 | BANASZEK Norbert | 75 |
| 14 | PODLASKI Michał | 68 |
| 15 | LIEPIŅŠ Emīls | 67 |
| 16 | FLAKSIS Andžs | 79 |
| 17 | ANSONS Kristers | 77 |
| 18 | GIBSON Matthew | 76 |
| 20 | SHAW James | 63 |