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 = -2.2 * weight + 163
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOSHEVOY Ilia | 62.5 |
| 4 | TATARINOV Gennadiy | 67 |
| 10 | SENNI Manuel | 60 |
| 12 | VAKOČ Petr | 68 |
| 20 | NIBALI Antonio | 65 |
| 36 | HIRT Jan | 62 |
| 46 | BERLATO Giacomo | 60 |
| 56 | DVORSKY David | 64 |