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 = 2.1 * weight - 127
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 3 | VAN IMPE Lucien | 59 |
| 4 | POLLENTIER Michel | 62 |
| 7 | LASA Miguel María | 68 |
| 20 | JOURDAN Christian | 64 |
| 24 | FERNÁNDEZ Juan | 68 |
| 30 | LADRÓN Rafael | 74 |
| 42 | SCHUITEN Roy | 83 |
| 58 | MARTINEZ Paulino | 80 |