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 = -0.6 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUDSELL Timothy | 77 |
| 2 | BEWLEY Sam | 81 |
| 3 | HENDERSON Gregory | 75 |
| 6 | ROULSTON Hayden | 81 |
| 10 | CALABRIA Fabio | 55 |
| 11 | LAPTHORNE Darren | 70 |
| 16 | OLIPHANT Evan | 66 |
| 26 | SULZBERGER Wesley | 65 |
| 38 | NORTHEY Michael James | 69 |
| 72 | DEAN Julian | 72 |