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 = 1.2 * weight - 64
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEYER Travis | 68 |
| 2 | REID Robin | 62 |
| 5 | YATES Jeremy | 73 |
| 23 | SULZBERGER Bernard | 67 |
| 28 | CHAPMAN Joe | 78 |
| 31 | PORTE Richie | 62 |
| 35 | ROULSTON Hayden | 81 |
| 37 | RUDOLPH Malcolm | 69 |
| 59 | SERGENT Jesse | 76 |