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 = 1.2 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | SCHUITEN Roy | 83 |
| 4 | POLLENTIER Michel | 62 |
| 5 | VAN IMPE Lucien | 59 |
| 8 | LASA Miguel María | 68 |
| 11 | JOURDAN Christian | 64 |
| 26 | LADRÓN Rafael | 74 |
| 41 | FERNÁNDEZ Juan | 68 |
| 62 | MARTINEZ Paulino | 80 |