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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ANZÀ Santo | 58 |
| 6 | POZZOVIVO Domenico | 53 |
| 7 | ALBASINI Michael | 65 |
| 9 | RAST Grégory | 80 |
| 10 | KVASINA Matija | 72 |
| 11 | ERMETI Giairo | 60 |
| 12 | ROHREGGER Thomas | 63 |
| 15 | MARIN Matej | 67 |
| 16 | KNEES Christian | 81 |