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 = -1 * weight + 80
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MCKENZIE Hamish | 70 |
| 3 | CHAMBERLAIN Oscar | 74 |
| 6 | AGNOLETTO Blake | 69 |
| 8 | TOMKINSON Tyler | 61 |
| 9 | BLEDDYN Oliver | 67 |
| 12 | HARRISON Curtis | 65 |
| 13 | MCGOVERN Mitchell | 70 |
| 14 | FOX Matthew | 71 |
| 15 | CRANAGE Joshua | 63 |
| 16 | HAMER Jonah | 72 |
| 18 | JESSEN Cohen | 58 |
| 21 | KIRKHAM Will | 62 |
| 22 | WALSH Finn | 64 |
| 24 | CONNAN Matthew | 61 |
| 27 | GALEA Alexander | 62 |
| 29 | HEFFERNAN William | 60 |
| 30 | HADDEN Nate | 68 |