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 = 2.4 * weight - 128
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGISHA Samuel | 62 |
| 4 | LOZANO David | 63 |
| 5 | LAGAB Azzedine | 63 |
| 9 | MUGISHA Moise | 58 |
| 14 | JULIUS Jayde | 59 |
| 32 | MANIZABAYO Eric | 72 |
| 39 | HENTTALA Joonas | 73 |
| 40 | ARAUJO Bruno | 68 |
| 57 | CLANCY Stephen | 63 |
| 62 | NIYONSHUTI Adrien | 63 |
| 67 | CRAVEN Dan | 75 |