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 = -18.8 * weight + 2199
This means that on average for every extra kilogram weight a rider loses -18.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUGENS Jan | 83 |
| 4 | CRINNION Peter | 75 |
| 990 | JANSSEN Jan | 76 |
| 990 | ZANIN Mario | 74 |
| 990 | MOMEÑE José Antonio | 61 |
| 990 | NIJDAM Henk | 75 |
| 990 | HEEB Adolf | 68 |
| 990 | VAN KREUNINGEN Lex | 82 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | HENTGES Robert | 70 |
| 990 | JAISLI Erwin | 60 |
| 990 | PETTERSSON Gösta | 75 |
| 990 | VALADA Francisco Augusto da Conceição | 62 |
| 990 | AL DAHAB Tarek Abou | 64 |