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 = 1.1 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MITCHELL Glen | 70 |
| 3 | GUYTON Scott | 74 |
| 7 | REID Robin | 62 |
| 16 | ROULSTON Hayden | 81 |
| 22 | BLACKGROVE Heath | 65 |
| 31 | CHAPMAN Joe | 78 |
| 39 | HENDERSON Gregory | 75 |
| 49 | GUDSELL Timothy | 77 |