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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZON Jean-Patrick | 74 |
| 2 | ENGELS Addy | 64 |
| 5 | KASPUTIS Artūras | 83 |
| 7 | SANDSTØD Michael | 74 |
| 9 | ZANOTTI Marco | 70 |
| 10 | VINOKOUROV Alexandre | 68 |
| 11 | ŁUKASZEWICZ Czesław | 63 |
| 12 | NAZON Damien | 68 |
| 13 | PRONK Matthé | 73 |
| 14 | JOACHIM Benoît | 82 |
| 15 | DE GROOT Bram | 65 |
| 16 | CRETSKENS Wilfried | 75 |
| 19 | ZUCCONI Pietro | 63 |
| 20 | MIZUROV Andrey | 68 |