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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIES Michel | 67 |
| 2 | HORVAT Žiga | 70 |
| 4 | MCNULTY Brandon | 69 |
| 5 | WRIGHT Fred | 75 |
| 6 | JORGENSON Matteo | 69 |
| 7 | OTRUBA Jakub | 75 |
| 8 | GARRISON Ian | 76 |
| 9 | HAYTER Ethan | 70 |
| 10 | JERMAN Žiga | 67 |
| 13 | ADAMIETZ Johannes | 61 |
| 14 | LAVRIČ Martin | 64 |