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 = -1.5 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMUKULIS Gatis | 72 |
| 2 | SARAMOTINS Aleksejs | 75 |
| 3 | KANGERT Tanel | 65 |
| 5 | KRUOPIS Aidis | 80 |
| 7 | AUG Andrus | 83 |
| 8 | MIRONOV Alexander | 68 |
| 35 | BAGDONAS Gediminas | 78 |
| 41 | JUODVALKIS Egidijus | 73 |
| 59 | KONOVALOVAS Ignatas | 74 |
| 60 | FIRSANOV Sergey | 58 |
| 61 | KRIIT Kalle | 63 |