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 = 0.4 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DE WOLF Fons | 75 |
| 4 | POLLENTIER Michel | 62 |
| 6 | VAN IMPE Lucien | 59 |
| 9 | KELLY Sean | 77 |
| 14 | VAN LOOY Frans | 75 |
| 19 | DIERICKX André | 74 |
| 24 | DEMEYER Marc | 85 |
| 26 | HOSTE Frank | 76 |
| 28 | GODEFROOT Walter | 73 |
| 43 | SCHEPERS Eddy | 60 |
| 47 | PRIEM Cees | 75 |
| 69 | VAN KATWIJK Fons | 75 |