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 = -0.7 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JANSSEN Jan | 76 |
| 7 | CRINNION Peter | 75 |
| 8 | HUGENS Jan | 83 |
| 10 | HEEB Adolf | 68 |
| 11 | MOMEÑE José Antonio | 61 |
| 12 | JAISLI Erwin | 60 |
| 13 | BRACKE Ferdinand | 79 |
| 15 | NIJDAM Henk | 75 |
| 26 | PETTERSSON Gösta | 75 |
| 29 | HENTGES Robert | 70 |
| 32 | ZANIN Mario | 74 |
| 43 | VAN KREUNINGEN Lex | 82 |
| 57 | VALADA Francisco Augusto da Conceição | 62 |
| 64 | AL DAHAB Tarek Abou | 64 |