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 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUIDI Fabrizio | 73 |
| 2 | OZERS Kaspars | 73 |
| 3 | HAMBURGER Bo | 58 |
| 4 | SØRENSEN Rolf | 70 |
| 6 | RIIS Bjarne | 71 |
| 7 | HOLM SØRENSEN Brian | 77 |
| 8 | SANDSTØD Michael | 74 |
| 9 | APOLLONIO Massimo | 70 |
| 11 | STREEL Marc | 69 |
| 12 | BLAUDZUN Michael | 66 |
| 13 | MEINERT-NIELSEN Peter | 73 |