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 + 58
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYBALL Benjamin | 63 |
| 2 | HAAS Nathan | 71 |
| 4 | DENNIS Rohan | 72 |
| 9 | DURBRIDGE Luke | 78 |
| 11 | RUDOLPH Malcolm | 69 |
| 12 | MCCARTHY Jay | 63 |
| 15 | PARKER Dale | 65 |
| 20 | MORTON Lachlan | 62 |
| 31 | HILL Benjamin | 67 |
| 47 | VANSTONE Justin | 67 |