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 = 1.5 * weight - 96
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REID Robin | 62 |
| 2 | BLACKGROVE Heath | 65 |
| 3 | MITCHELL Glen | 70 |
| 9 | GUYTON Scott | 74 |
| 16 | HENDERSON Gregory | 75 |
| 17 | GUDSELL Timothy | 77 |
| 18 | ROULSTON Hayden | 81 |
| 43 | CHAPMAN Joe | 78 |