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 = -1.7 * weight + 160
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROULSTON Hayden | 81 |
| 4 | AVERY Clinton | 90 |
| 9 | GUDSELL Timothy | 77 |
| 14 | CHAPMAN Joe | 78 |
| 25 | BEWLEY Sam | 81 |
| 27 | ZIRBEL Tom | 91 |
| 37 | YATES Jeremy | 73 |
| 47 | ARCHBOLD Shane | 79 |
| 54 | NORTHEY Michael James | 69 |
| 56 | BAUER Jack | 74 |