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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROULSTON Hayden | 81 |
| 5 | SULZBERGER Bernard | 67 |
| 8 | PORTE Richie | 62 |
| 14 | RUDOLPH Malcolm | 69 |
| 15 | CHAPMAN Joe | 78 |
| 17 | MEYER Travis | 68 |
| 22 | YATES Jeremy | 73 |
| 27 | REID Robin | 62 |
| 30 | SERGENT Jesse | 76 |