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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANCEBO Francisco | 64 |
| 2 | TRENTIN Guido | 65 |
| 3 | NIERMANN Grischa | 64 |
| 4 | CAÑADA David | 65 |
| 5 | MILLAR David | 79 |
| 6 | COMMESSO Salvatore | 66 |
| 7 | MONCOUTIÉ David | 69 |
| 8 | JOACHIM Benoît | 82 |
| 9 | KLIER Andreas | 72 |
| 10 | BÄCKSTEDT Magnus | 94 |