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 = -1.7 * weight + 150
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DANIEL Gregory | 64 |
| 10 | OWEN Logan | 67 |
| 18 | VERMEULEN Alexey | 66 |
| 23 | HARTIG Evan | 77 |
| 29 | OIEN Justin | 68 |
| 36 | BURKE Jack | 67 |
| 61 | MACKINNON Sean | 75 |
| 96 | DOWNING Spencer | 55 |