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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIERICKX André | 74 |
| 2 | MAERTENS Freddy | 65 |
| 4 | POLLENTIER Michel | 62 |
| 5 | VAN LOOY Frans | 75 |
| 11 | ROSIERS Roger | 78 |
| 15 | SCHEPERS Eddy | 60 |
| 21 | BRACKE Ferdinand | 79 |
| 35 | DEMEYER Marc | 85 |
| 42 | MCCORMACK Alan | 57 |
| 49 | VAN KATWIJK Fons | 75 |