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 = -1.6 * weight + 150
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | YATES Jeremy | 73 |
| 6 | CHADWICK Glen Alan | 75 |
| 7 | BAUER Jack | 74 |
| 12 | ROULSTON Hayden | 81 |
| 13 | SERGENT Jesse | 76 |
| 20 | ROLLIN Dominique | 83 |
| 24 | BEWLEY Sam | 81 |
| 25 | BLACKGROVE Heath | 65 |
| 64 | SCULLY Tom | 85 |
| 65 | NORTHEY Michael James | 69 |
| 67 | BENNETT George | 58 |
| 76 | REID Robin | 62 |
| 91 | GREENBERG Cory | 72 |