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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOUGH Regan | 71 |
| 2 | VINK Michael | 73 |
| 3 | SEXTON Tom | 71 |
| 4 | FOUCHÉ James | 71 |
| 5 | FISHER-BLACK Finn | 69 |
| 6 | BATT Ethan | 76 |
| 7 | BENNETT George | 58 |
| 9 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 10 | GROUBE Carne | 69 |