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 - 54
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ZAHIRI Abderrahim | 57 |
| 9 | GRANIGAN Noah | 76 |
| 17 | BARTA Will | 61 |
| 19 | JAMIESON Adam | 75 |
| 33 | OIEN Justin | 68 |
| 35 | BURKE Jack | 67 |
| 38 | MACKINNON Sean | 75 |
| 56 | HARTIG Evan | 77 |