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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROULSTON Hayden | 81 |
| 2 | OLIPHANT Evan | 66 |
| 3 | GUDSELL Timothy | 77 |
| 11 | CALABRIA Fabio | 55 |
| 12 | LAPTHORNE Darren | 70 |
| 23 | SULZBERGER Wesley | 65 |
| 33 | HENDERSON Gregory | 75 |
| 36 | NORTHEY Michael James | 69 |
| 44 | BEWLEY Sam | 81 |
| 52 | DEAN Julian | 72 |