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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLANC Jan | 62 |
| 2 | BERLATO Giacomo | 60 |
| 3 | MANFREDI Andrea | 54 |
| 4 | SENNI Manuel | 60 |
| 6 | ZORDAN Andrea | 65 |
| 7 | GAROSIO Andrea | 58 |
| 9 | SÜTTERLIN Jasha | 78 |
| 12 | AYAZBAYEV Maxat | 75 |
| 15 | VAKOČ Petr | 68 |