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 = -0.7 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCKENZIE Hamish | 70 |
| 3 | MILLER Lachlan | 64 |
| 4 | TOMKINSON Tyler | 61 |
| 7 | CHAMBERLAIN Oscar | 74 |
| 9 | GALEA Alexander | 62 |
| 10 | HADDEN Nate | 68 |
| 13 | SHORT Ryland | 69 |
| 14 | TUCKWELL Luke | 66 |
| 16 | HEFFERNAN William | 60 |
| 18 | BLANNIN Noah | 65 |
| 26 | HARRISON Curtis | 65 |
| 27 | HAMER Jonah | 72 |
| 37 | CAMPOMANES Juan Carlos | 56 |