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 = 2.1 * weight - 116
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MUGISHA Moise | 58 |
| 3 | JULIUS Jayde | 59 |
| 4 | LAGAB Azzedine | 63 |
| 5 | MANIZABAYO Eric | 72 |
| 18 | LOZANO David | 63 |
| 20 | MUGISHA Samuel | 62 |
| 28 | ARAUJO Bruno | 68 |
| 31 | NIYONSHUTI Adrien | 63 |
| 48 | CRAVEN Dan | 75 |
| 50 | HENTTALA Joonas | 73 |