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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TZORTZAKIS Polychronis | 80 |
| 2 | MILÁN Diego | 67 |
| 5 | VOLKERS Samuel | 67 |
| 6 | TIRYAKI Oguzhan | 67 |
| 8 | EVRARD Laurent | 65 |
| 11 | GANDIN Stefano | 69 |
| 12 | ZAHIRI Abderrahim | 57 |
| 15 | STOCKMAN Abram | 67 |
| 16 | JOSEPH Thomas | 71 |
| 17 | BERGSTRÖM FRISK Hannes | 70 |
| 19 | GUZMÁN William | 69 |
| 23 | TABELLION Valentin | 72 |
| 26 | DE ROOZE Niels | 62 |
| 27 | LUDVIGSSON Fredrik | 71 |
| 36 | ÖZGÜR Batuhan | 75 |