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 = -2.7 * weight + 198
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SENNI Manuel | 60 |
| 6 | TATARINOV Gennadiy | 67 |
| 7 | VAKOČ Petr | 68 |
| 16 | KOSHEVOY Ilia | 62.5 |
| 17 | NIBALI Antonio | 65 |
| 28 | HIRT Jan | 62 |
| 56 | BERLATO Giacomo | 60 |
| 62 | DVORSKY David | 64 |