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 = 1.3 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Jeremy | 73 |
| 2 | CHADWICK Glen Alan | 75 |
| 4 | BLACKGROVE Heath | 65 |
| 5 | ROULSTON Hayden | 81 |
| 8 | ROLLIN Dominique | 83 |
| 18 | BENNETT George | 58 |
| 23 | BAUER Jack | 74 |
| 29 | NORTHEY Michael James | 69 |
| 43 | SERGENT Jesse | 76 |
| 55 | REID Robin | 62 |
| 56 | SCULLY Tom | 85 |
| 81 | BEWLEY Sam | 81 |
| 103 | AVERY Clinton | 90 |
| 108 | GREENBERG Cory | 72 |