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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOCH Christian | 68 |
| 2 | STACHOWIAK Adam | 62 |
| 3 | JULIUS Jayde | 59 |
| 5 | KACZMAREK Jakub | 66 |
| 7 | MAŁECKI Kamil | 69 |
| 8 | ROJUS Adomaitis | 83 |
| 11 | KUŚ Adam | 70 |
| 12 | VAN DALEN Jason | 70 |
| 13 | JANISZEWSKI Sylwester | 65 |
| 15 | HONKISZ Adrian | 61 |