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 = 1.2 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSE VAN RENSBURG Jacques | 63 |
| 3 | LAGAB Azzedine | 63 |
| 5 | OKUBAMARIAM Tesfom | 60 |
| 8 | AMANUEL Meron | 63 |
| 11 | AFEWERKI Elyas | 63 |
| 12 | GEBREMEDHIN Awet | 58.5 |
| 16 | DEBESAY Mekseb | 64 |
| 22 | CHAABANE Hichem | 70 |