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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOND Hamish | 91 |
| 2 | VINK Michael | 73 |
| 6 | MCCORMICK Hayden | 72.5 |
| 7 | ORAM James | 68 |
| 8 | KENNETT Dylan | 75 |