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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KESSIAKOFF Fredrik | 61 |
| 3 | VANDBORG Brian Bach | 75 |
| 5 | LARSSON Gustav Erik | 77 |
| 6 | ALBASINI Michael | 65 |
| 7 | KOHL Bernhard | 61 |
| 8 | STRGAR Matic | 62 |
| 9 | ZAUGG Oliver | 58 |
| 11 | LOOSLI David | 71 |
| 16 | GREIPEL André | 80 |
| 20 | IGLINSKIY Maxim | 67 |
| 24 | BOŽIČ Borut | 70 |