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 = 0.8 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOCKMAN Abram | 67 |
| 2 | EVRARD Laurent | 65 |
| 3 | ZAHIRI Abderrahim | 57 |
| 7 | VOLKERS Samuel | 67 |
| 10 | TZORTZAKIS Polychronis | 80 |
| 12 | MILÁN Diego | 67 |
| 14 | GUZMÁN William | 69 |
| 20 | BERGSTRÖM FRISK Hannes | 70 |
| 22 | ÖZGÜR Batuhan | 75 |
| 23 | TABELLION Valentin | 72 |