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 = 0.7 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITEHOUSE Daniel | 58 |
| 3 | SUZUKI Ryu | 58 |
| 4 | HILL Benjamin | 67 |
| 6 | CRAWFORD Jai | 59 |
| 7 | GRIJALBA Fernando | 61 |
| 10 | OKUBO Jin | 70 |
| 11 | GUARDIOLA Salvador | 65 |
| 14 | EARLE Nathan | 70 |
| 15 | LEBAS Thomas | 65 |