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 = -12.7 * weight + 1620
This means that on average for every extra kilogram weight a rider loses -12.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMÍNGUEZ Manuel Jorge | 67 |
| 2 | HOSTE Frank | 76 |
| 9 | SARONNI Giuseppe | 65 |
| 990 | ROCHE Stephen | 74 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | LLACH Joaquin | 58 |
| 990 | DELGADO Pedro | 64 |
| 990 | KELLY Sean | 77 |
| 990 | MURGUIALDAY Javier | 58 |
| 990 | EARLEY Martin | 62 |
| 990 | BARONCHELLI Gianbattista | 72 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | FERNÁNDEZ Juan | 68 |