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 = 0.5 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROULSTON Hayden | 81 |
| 3 | BLACKGROVE Heath | 65 |
| 4 | ROLLIN Dominique | 83 |
| 6 | YATES Jeremy | 73 |
| 7 | CHADWICK Glen Alan | 75 |
| 17 | BENNETT George | 58 |
| 19 | BAUER Jack | 74 |
| 23 | NORTHEY Michael James | 69 |
| 25 | REID Robin | 62 |
| 47 | SCULLY Tom | 85 |
| 68 | BEWLEY Sam | 81 |
| 91 | GREENBERG Cory | 72 |