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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAARAMÄE Rein | 73 |
| 2 | VAHTRA Norman | 85 |
| 4 | KURITS Joonas | 74 |
| 5 | ÄRM Rait | 75 |
| 6 | NISU Oskar | 84 |
| 7 | PAJUR Markus | 72 |
| 8 | KARPENKO Gleb | 77 |
| 11 | MÄRTSON Märt-Martin | 90 |
| 17 | ROOS Andre | 76 |