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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TROFIMOV Yuri | 59 |
| 2 | CHERKASOV Nikolay | 68 |
| 3 | ZUBOV Matvey | 72 |
| 4 | KUSTADINCHEV Roman | 66 |
| 5 | KOBERNYAK Evgeny | 59 |
| 10 | RIKUNOV Petr | 71 |
| 12 | DUBOVSKI Vladzislau | 75 |
| 13 | SHEMETAU Mikhail | 79 |
| 17 | PAPOK Siarhei | 76 |
| 18 | BUDYAK Anatoliy | 53 |