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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SULZBERGER Wesley | 65 |
| 2 | MEYER Cameron | 70 |
| 3 | CLARKE Simon | 63 |
| 5 | ANDERSON Jack | 68 |
| 6 | EARLE Nathan | 70 |
| 8 | WALKER Johnnie | 63 |
| 9 | CALABRIA Fabio | 55 |
| 16 | PORTE Richie | 62 |
| 17 | NORRIS Lachlan | 67 |