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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUTT Pavel | 70 |
| 4 | SCHWAB Hubert | 65 |
| 5 | VELITS Peter | 63 |
| 9 | SEROV Alexander | 77 |
| 10 | JACOBS Pieter | 68 |
| 15 | LOSADA Alberto | 69 |
| 18 | OROZ Juan José | 71 |
| 19 | VELASCO Iván | 65 |
| 22 | ZONNEVELD Thijs | 63 |
| 23 | TRUSOV Nikolay | 77 |