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 = 1.3 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 3 | ELLIOTT Malcolm | 76 |
| 7 | PLANCKAERT Eddy | 69 |
| 9 | VAN DER POEL Adrie | 70 |
| 10 | DE ROOIJ Theo | 69 |
| 14 | SERGEANT Marc | 76 |
| 16 | WAMPERS Jean-Marie | 82 |
| 28 | KUIPER Hennie | 69 |
| 34 | NEVENS Jan | 58 |
| 49 | SKIBBY Jesper | 70 |
| 54 | MOSER Francesco | 79 |
| 57 | PIETERS Peter | 82 |
| 60 | DE WOLF Fons | 75 |
| 65 | SOLLEVELD Gerrit | 93 |