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 = 0.6 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROULSTON Hayden | 81 |
| 2 | MEYER Travis | 68 |
| 4 | REID Robin | 62 |
| 6 | PORTE Richie | 62 |
| 16 | SERGENT Jesse | 76 |
| 17 | YATES Jeremy | 73 |
| 55 | RUDOLPH Malcolm | 69 |
| 60 | SULZBERGER Bernard | 67 |
| 66 | CHAPMAN Joe | 78 |