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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWIFT Ben | 69 |
| 2 | MALORI Adriano | 68 |
| 3 | MARYCZ Jarosław | 69 |
| 5 | SILIN Egor | 61 |
| 6 | CRAVEN Dan | 75 |
| 8 | KOCHETKOV Pavel | 70 |
| 10 | MARANGONI Alan | 74 |
| 11 | MALAGUTI Alessandro | 67 |
| 12 | SEREBRYAKOV Alexander | 70 |