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 = -1.2 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROULSTON Hayden | 81 |
| 6 | AVERY Clinton | 90 |
| 8 | GUDSELL Timothy | 77 |
| 14 | ZIRBEL Tom | 91 |
| 25 | ARCHBOLD Shane | 79 |
| 30 | CHAPMAN Joe | 78 |
| 31 | YATES Jeremy | 73 |
| 37 | NORTHEY Michael James | 69 |
| 44 | BAUER Jack | 74 |
| 77 | BEWLEY Sam | 81 |