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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GATE Aaron | 71 |
| 4 | WATTS Kiaan | 72 |
| 5 | JACKSON George | 75 |
| 6 | LANE WELSH Tali | 70 |
| 8 | SCHULTZ Elliot | 62 |
| 10 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 11 | HEFFERNAN William | 60 |