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 - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGAB Azzedine | 63 |
| 2 | LOZANO David | 63 |
| 7 | MUGISHA Moise | 58 |
| 12 | JULIUS Jayde | 59 |
| 15 | HENTTALA Joonas | 73 |
| 22 | ARAUJO Bruno | 68 |
| 28 | CRAVEN Dan | 75 |
| 31 | MUGISHA Samuel | 62 |
| 53 | MANIZABAYO Eric | 72 |
| 69 | CLANCY Stephen | 63 |
| 76 | NIYONSHUTI Adrien | 63 |