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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMENZIND Oscar | 62 |
| 3 | LIESE Thomas | 75 |
| 4 | BUXHOFER Matthias | 70 |
| 5 | VANDENBROUCKE Frank | 67 |
| 6 | HASELBACHER René | 69 |
| 7 | MATTAN Nico | 69 |
| 9 | NARDELLO Daniele | 74 |
| 10 | CLINGER David | 77 |