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 = -23.1 * weight + 2427
This means that on average for every extra kilogram weight a rider loses -23.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAAS Jan | 72 |
| 3 | VAN LOOY Frans | 75 |
| 5 | DEMEYER Marc | 85 |
| 990 | KELLY Sean | 77 |
| 990 | VAN KATWIJK Fons | 75 |
| 990 | DE WOLF Fons | 75 |
| 990 | POLLENTIER Michel | 62 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | DIERICKX André | 74 |
| 990 | HOSTE Frank | 76 |
| 990 | GODEFROOT Walter | 73 |
| 990 | SCHEPERS Eddy | 60 |
| 990 | PRIEM Cees | 75 |