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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILLER Lachlan | 64 |
| 2 | GEORGE Dylan | 68 |
| 3 | CONNAN Matthew | 61 |
| 5 | SINCLAIR Aiden | 58 |
| 6 | FIELKE Jai | 68 |
| 7 | TOMKINSON Tyler | 61 |
| 9 | MCGOVERN Mitchell | 70 |
| 10 | TUCKWELL Luke | 66 |
| 11 | GALEA Alexander | 62 |
| 12 | KIRKHAM Will | 62 |
| 22 | O'MALLEY Daniel | 80 |
| 25 | SHORT Ryland | 69 |
| 26 | WALSH Finn | 64 |
| 27 | HARRISON Curtis | 65 |
| 29 | HEFFERNAN William | 60 |
| 32 | SAMPSON Andy | 65 |
| 41 | MCKENZIE Hamish | 70 |