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 = 3.1 * weight - 193
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PORTE Richie | 62 |
| 2 | MEYER Travis | 68 |
| 6 | REID Robin | 62 |
| 7 | SULZBERGER Bernard | 67 |
| 11 | YATES Jeremy | 73 |
| 17 | ROULSTON Hayden | 81 |
| 27 | RUDOLPH Malcolm | 69 |
| 32 | SERGENT Jesse | 76 |
| 74 | CHAPMAN Joe | 78 |
| 89 | BEWLEY Sam | 81 |