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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DINHAM Matthew | 63 |
| 4 | PORTER Rudy | 66 |
| 6 | GILMORE Brady | 70 |
| 8 | GEORGE Dylan | 68 |
| 10 | MCGOVERN Mitchell | 70 |
| 11 | FIELKE Jai | 68 |
| 13 | KÆMPE Stinus Bjerring | 59 |
| 14 | CONNAN Matthew | 61 |
| 16 | GREENWOOD Matthew | 63 |
| 17 | INGLIS Joseph | 68 |
| 21 | SAMPSON Andy | 65 |
| 25 | KIRKHAM Will | 62 |
| 34 | WALSH Liam | 80 |