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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEBESAY Mekseb | 64 |
| 3 | KUDUS Merhawi | 58 |
| 4 | AMANUEL Meron | 63 |
| 5 | AFEWERKI Elyas | 63 |
| 7 | OKUBAMARIAM Tesfom | 60 |
| 8 | GEBREMEDHIN Awet | 58.5 |
| 12 | LAGAB Azzedine | 63 |
| 14 | CHAABANE Hichem | 70 |