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 = 0.8 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEYER Travis | 68 |
| 7 | CHAPMAN Joe | 78 |
| 9 | SULZBERGER Bernard | 67 |
| 12 | ROULSTON Hayden | 81 |
| 14 | RUDOLPH Malcolm | 69 |
| 15 | PORTE Richie | 62 |
| 18 | YATES Jeremy | 73 |
| 25 | REID Robin | 62 |
| 46 | SERGENT Jesse | 76 |
| 52 | BEWLEY Sam | 81 |