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 = -0.4 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUDRY Julian | 64 |
| 6 | HADDEN Nate | 68 |
| 7 | HEATH Will | 63 |
| 8 | SMITH Jeremy | 58 |
| 10 | HOLMES Wil | 64 |
| 12 | CONNAN Matthew | 61 |
| 20 | MCGOVERN Mitchell | 70 |
| 22 | WALSH Finn | 64 |
| 24 | TEESE Ronan | 58 |
| 30 | TOMKINSON Tyler | 61 |
| 36 | TEESE Aidan | 59 |
| 37 | HEFFERNAN William | 60 |
| 39 | RICHERT Luke | 69 |
| 40 | GALEA Alexander | 62 |