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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TLEUBAYEV Ruslan | 70 |
| 2 | POLJAŃSKI Paweł | 63 |
| 3 | BARBIN Enrico | 60 |
| 5 | BAZHKOU Stanislau | 65 |
| 6 | SCARTEZZINI Michele | 63 |
| 9 | MILETTA Luigi | 63 |
| 10 | SHUSHEMOIN Alexandr | 62 |
| 11 | TALIANI Alessio | 60 |
| 17 | BALYKIN Ivan | 68 |
| 18 | KATYRIN Roman | 65 |
| 19 | SENNI Manuel | 60 |