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 = 3.8 * weight - 258
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SARAMOTINS Aleksejs | 75 |
| 3 | KIRYIENKA Vasil | 69 |
| 9 | TOMBAK Janek | 71 |
| 16 | JAKIN Alo | 71 |
| 19 | SMUKULIS Gatis | 72 |
| 25 | TAARAMÄE Rein | 73 |
| 40 | SAMOILAU Branislau | 77 |
| 63 | JÕEÄÄR Gert | 84 |