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 = -0.6 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | VAN VLIET Leo | 65 |
| 6 | DIERICKX André | 74 |
| 7 | ROSIERS Roger | 78 |
| 8 | KUIPER Hennie | 69 |
| 11 | RAAS Jan | 72 |
| 13 | DEMEYER Marc | 85 |
| 16 | PRIEM Cees | 75 |
| 19 | DE VLAEMINCK Roger | 74 |
| 27 | DIDIER Lucien | 67 |
| 33 | VAN DEN HOEK Aad | 77 |
| 45 | THALER Klaus-Peter | 60 |
| 46 | GODEFROOT Walter | 73 |
| 54 | DUCLOS-LASSALLE Gilbert | 73 |