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 = 0.9 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | HASSINK Arie | 71 |
| 7 | NOWICKI Mieczysław | 74 |
| 8 | VAN SPRINGEL Herman | 72 |
| 10 | GILSON Roger | 70 |
| 13 | DIDIER Lucien | 67 |
| 15 | VAN DEN HOEK Aad | 77 |
| 18 | MYTNIK Tadeusz | 75 |
| 20 | GODEFROOT Walter | 73 |
| 21 | TRINKLER Richard | 67 |
| 26 | RAAS Jan | 72 |
| 27 | PRIEM Cees | 75 |
| 29 | DEMIERRE Serge | 70 |
| 33 | KREKELS Jan | 73 |
| 35 | KARSTENS Gerben | 74 |
| 39 | VAN KATWIJK Fons | 75 |