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 = -2.1 * weight + 176
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OWEN Logan | 67 |
| 12 | VERMEULEN Alexey | 66 |
| 17 | HARTIG Evan | 77 |
| 23 | OIEN Justin | 68 |
| 32 | DANIEL Gregory | 64 |
| 33 | BURKE Jack | 67 |
| 60 | MACKINNON Sean | 75 |
| 94 | DOWNING Spencer | 55 |